/*************************************************************************
ALGLIB 3.19.0 (source code generated 2022-06-07)
Copyright (c) Sergey Bochkanov (ALGLIB project).

>>> SOURCE LICENSE >>>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation (www.fsf.org); either version 2 of the 
License, or (at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

A copy of the GNU General Public License is available at
http://www.fsf.org/licensing/licenses
>>> END OF LICENSE >>>
*************************************************************************/
#ifdef _MSC_VER
#define _CRT_SECURE_NO_WARNINGS
#endif
#include "stdafx.h"

//
// if AE_OS==AE_LINUX (will be redefined to AE_POSIX in ap.h),
// set _GNU_SOURCE flag BEFORE any #includes to get affinity
// management functions
//
#if (AE_OS==AE_LINUX) && !defined(_GNU_SOURCE)
#define _GNU_SOURCE
#endif

//
// Must be defined before we include ap.h
//
#define _ALGLIB_IMPL_DEFINES
#define _ALGLIB_INTEGRITY_CHECKS_ONCE

#include "ap.h"
#include <limits>
#include <locale.h>
#include <ctype.h>

#if defined(AE_CPU)
#if (AE_CPU==AE_INTEL)

#if AE_COMPILER==AE_MSVC
#include <intrin.h>
#endif

#endif
#endif

// disable some irrelevant warnings
#if (AE_COMPILER==AE_MSVC) && !defined(AE_ALL_WARNINGS)
#pragma warning(disable:4100)
#pragma warning(disable:4127)
#pragma warning(disable:4611)
#pragma warning(disable:4702)
#pragma warning(disable:4996)
#endif

/////////////////////////////////////////////////////////////////////////
//
// THIS SECTION IMPLEMENTS BASIC FUNCTIONALITY LIKE
// MEMORY MANAGEMENT FOR VECTORS/MATRICES WHICH IS
// SHARED BETWEEN C++ AND PURE C LIBRARIES
//
/////////////////////////////////////////////////////////////////////////
namespace alglib_impl
{
/*
 * OS-specific includes
 */
#ifdef AE_USE_CPP
}
#endif
#if AE_OS==AE_WINDOWS || defined(AE_DEBUG4WINDOWS)
#ifndef _WIN32_WINNT
#define _WIN32_WINNT 0x0501
#endif
#include <windows.h>
#include <process.h>
#elif AE_OS==AE_POSIX || defined(AE_DEBUG4POSIX)
#include <time.h>
#include <unistd.h>
#include <pthread.h>
#include <sched.h>
#include <sys/time.h>
#endif
/* Debugging helpers for Windows */
#ifdef AE_DEBUG4WINDOWS
#include <windows.h>
#include <stdio.h>
#endif
#ifdef AE_USE_CPP
namespace alglib_impl
{
#endif

/*
 * local definitions
 */
#define x_nb 16
#define AE_DATA_ALIGN 64
#define AE_PTR_ALIGN sizeof(void*)
#define DYN_BOTTOM ((void*)1)
#define DYN_FRAME  ((void*)2)
#define AE_LITTLE_ENDIAN 1
#define AE_BIG_ENDIAN 2
#define AE_MIXED_ENDIAN 3
#define AE_SER_ENTRY_LENGTH 11
#define AE_SER_ENTRIES_PER_ROW 5

#define AE_SM_DEFAULT 0
#define AE_SM_ALLOC 1
#define AE_SM_READY2S 2
#define AE_SM_TO_STRING    10
#define AE_SM_TO_CPPSTRING 11
#define AE_SM_TO_STREAM    12
#define AE_SM_FROM_STRING  20
#define AE_SM_FROM_STREAM  22

#define AE_LOCK_CYCLES 512
#define AE_LOCK_TESTS_BEFORE_YIELD 16
#define AE_CRITICAL_ASSERT(x) if( !(x) ) abort()

/* IDs for set_dbg_value */
#define _ALGLIB_USE_ALLOC_COUNTER             0
#define _ALGLIB_USE_DBG_COUNTERS              1
#define _ALGLIB_USE_VENDOR_KERNELS          100
#define _ALGLIB_VENDOR_MEMSTAT              101

#define _ALGLIB_DEBUG_WORKSTEALING          200
#define _ALGLIB_WSDBG_NCORES                201
#define _ALGLIB_WSDBG_PUSHROOT_OK           202
#define _ALGLIB_WSDBG_PUSHROOT_FAILED       203

#define _ALGLIB_SET_GLOBAL_THREADING       1001
#define _ALGLIB_SET_NWORKERS               1002

/* IDs for get_dbg_value */
#define _ALGLIB_GET_ALLOC_COUNTER             0
#define _ALGLIB_GET_CUMULATIVE_ALLOC_SIZE     1
#define _ALGLIB_GET_CUMULATIVE_ALLOC_COUNT    2

#define _ALGLIB_GET_CORES_COUNT            1000
#define _ALGLIB_GET_GLOBAL_THREADING       1001
#define _ALGLIB_GET_NWORKERS               1002

#if defined(ALGLIB_REDZONE)
#define _ALGLIB_REDZONE_VAL                 0x3c
#endif

/*************************************************************************
Lock.

This is internal structure which implements lock functionality.
*************************************************************************/
typedef struct
{
#if AE_OS==AE_WINDOWS
    volatile ae_int_t * volatile p_lock;
    char buf[sizeof(ae_int_t)+AE_LOCK_ALIGNMENT];
#elif AE_OS==AE_POSIX
    pthread_mutex_t mutex;
#else
    ae_bool is_locked;
#endif
} _lock;




/*
 * Error tracking facilities; this fields are modified every time ae_set_error_flag()
 * is called with non-zero cond. Thread unsafe access, but it does not matter actually.
 */
static const char * sef_file  = "";
static int          sef_line  = 0;
static const char * sef_xdesc = "";

/*
 * Global flags, split into several char-sized variables in order
 * to avoid problem with non-atomic reads/writes (single-byte ops
 * are atomic on all modern architectures);
 *
 * Following variables are included:
 * * threading-related settings
 */
unsigned char _alglib_global_threading_flags = _ALGLIB_FLG_THREADING_SERIAL>>_ALGLIB_FLG_THREADING_SHIFT;

/*
 * DESCRIPTION: recommended number of active workers:
 *              * positive value >=1 is used to specify exact number of active workers
 *              * 0 means that ALL available cores are used
 *              * negative value means that all cores EXCEPT for cores_to_use will be used
 *                (say, -1 means that all cores except for one will be used). At least one
 *                core will be used in this case, even if you assign -9999999 to this field.
 *
 *              Default value =  0 (fully parallel execution) when AE_NWORKERS is not defined
 *                            =  0 for manually defined number of cores (AE_NWORKERS is defined)
 * PROTECTION:  not needed; runtime modification is possible, but we do not need exact
 *              synchronization.
 */
#if defined(AE_NWORKERS) && (AE_NWORKERS<=0)
#error AE_NWORKERS must be positive number or not defined at all.
#endif
#if defined(AE_NWORKERS)
ae_int_t _alglib_cores_to_use = 0;
#else
ae_int_t _alglib_cores_to_use = 0;
#endif

/*
 * Debug counters
 */
ae_int_t   _alloc_counter = 0;
ae_int_t   _alloc_counter_total = 0;
ae_bool    _use_alloc_counter = ae_false;

ae_int_t   _dbg_alloc_total = 0;
ae_bool    _use_dbg_counters  = ae_false;

ae_bool    _use_vendor_kernels          = ae_true;

ae_bool    debug_workstealing           = ae_false; /* debug workstealing environment? False by default */
ae_int_t   dbgws_pushroot_ok            = 0;
ae_int_t   dbgws_pushroot_failed        = 0;

#ifdef AE_SMP_DEBUGCOUNTERS
__declspec(align(AE_LOCK_ALIGNMENT)) volatile ae_int64_t _ae_dbg_lock_acquisitions = 0;
__declspec(align(AE_LOCK_ALIGNMENT)) volatile ae_int64_t _ae_dbg_lock_spinwaits = 0;
__declspec(align(AE_LOCK_ALIGNMENT)) volatile ae_int64_t _ae_dbg_lock_yields = 0;
#endif

/*
 * Allocation debugging
 */
ae_bool     _force_malloc_failure = ae_false;
ae_int_t    _malloc_failure_after = 0;


/*
 * Trace-related declarations:
 * alglib_trace_type    -   trace output type
 * alglib_trace_file    -   file descriptor (to be used by ALGLIB code which
 *                          sends messages to trace log
 * alglib_fclose_trace  -   whether we have to call fclose() when disabling or
 *                          changing trace output
 * alglib_trace_tags    -   string buffer used to store tags + two additional
 *                          characters (leading and trailing commas) + null
 *                          terminator
 */
#define ALGLIB_TRACE_NONE 0
#define ALGLIB_TRACE_FILE 1
#define ALGLIB_TRACE_TAGS_LEN 2048
#define ALGLIB_TRACE_BUFFER_LEN (ALGLIB_TRACE_TAGS_LEN+2+1)
static ae_int_t  alglib_trace_type = ALGLIB_TRACE_NONE;
FILE            *alglib_trace_file = NULL;
static ae_bool   alglib_fclose_trace = ae_false;
static char      alglib_trace_tags[ALGLIB_TRACE_BUFFER_LEN];

/*
 * Fields for memory allocation over static array
 */
#if AE_MALLOC==AE_BASIC_STATIC_MALLOC
#if AE_THREADING!=AE_SERIAL_UNSAFE
#error Basis static malloc is thread-unsafe; define AE_THREADING=AE_SERIAL_UNSAFE to prove that you know it
#endif
static ae_int_t         sm_page_size = 0;
static ae_int_t         sm_page_cnt  = 0;
static ae_int_t         *sm_page_tbl = NULL;
static unsigned char    *sm_mem      = NULL;
#endif

/*
 * These declarations are used to ensure that
 * sizeof(ae_bool)=1, sizeof(ae_int32_t)==4, sizeof(ae_int64_t)==8, sizeof(ae_int_t)==sizeof(void*).
 * they will lead to syntax error otherwise (array size will be negative).
 *
 * you can remove them, if you want - they are not used anywhere.
 *
 */
static char     _ae_bool_must_be_8_bits_wide [1-2*((int)(sizeof(ae_bool))-1)*((int)(sizeof(ae_bool))-1)];
static char  _ae_int32_t_must_be_32_bits_wide[1-2*((int)(sizeof(ae_int32_t))-4)*((int)(sizeof(ae_int32_t))-4)];
static char  _ae_int64_t_must_be_64_bits_wide[1-2*((int)(sizeof(ae_int64_t))-8)*((int)(sizeof(ae_int64_t))-8)];
static char _ae_uint64_t_must_be_64_bits_wide[1-2*((int)(sizeof(ae_uint64_t))-8)*((int)(sizeof(ae_uint64_t))-8)];
static char  _ae_int_t_must_be_pointer_sized [1-2*((int)(sizeof(ae_int_t))-(int)sizeof(void*))*((int)(sizeof(ae_int_t))-(int)(sizeof(void*)))];
#if defined(ALGLIB_REDZONE)
static char _ae_redzone_must_be_multiple_of_64[1-2*(((ALGLIB_REDZONE)<(AE_DATA_ALIGN)) ? 1 : 0)-2*(((ALGLIB_REDZONE)%(AE_DATA_ALIGN)) ? 1 : 0)];
#endif

/*
 * This variable is used to prevent some tricky optimizations which may degrade multithreaded performance.
 * It is touched once in the ae_init_pool() function from smp.c in order to prevent optimizations.
 *
 */
static volatile ae_int_t ae_never_change_it = 1;

/*************************************************************************
This function should never  be  called.  It is  here  to  prevent spurious
compiler warnings about unused variables (in fact: used).
*************************************************************************/
void ae_never_call_it()
{
    ae_touch_ptr((void*)_ae_bool_must_be_8_bits_wide);
    ae_touch_ptr((void*)_ae_int32_t_must_be_32_bits_wide);
    ae_touch_ptr((void*)_ae_int64_t_must_be_64_bits_wide);
    ae_touch_ptr((void*)_ae_uint64_t_must_be_64_bits_wide);
    ae_touch_ptr((void*)_ae_int_t_must_be_pointer_sized);
}

/*************************************************************************
Standard function wrappers for better GLIBC portability
*************************************************************************/
#if defined(X_FOR_LINUX)
__asm__(".symver exp,exp@GLIBC_2.2.5");
__asm__(".symver log,log@GLIBC_2.2.5");
__asm__(".symver pow,pow@GLIBC_2.2.5");

double __wrap_exp(double x)
{
    return exp(x);
}

double __wrap_log(double x)
{
    return log(x);
}

double __wrap_pow(double x, double y)
{
    return pow(x, y);
}
#endif

void ae_set_dbg_flag(ae_int64_t flag_id, ae_int64_t flag_val)
{
    if( flag_id==_ALGLIB_USE_ALLOC_COUNTER )
    {
        _use_alloc_counter = flag_val!=0;
        return;
    }
    if( flag_id==_ALGLIB_USE_DBG_COUNTERS )
    {
        _use_dbg_counters  = flag_val!=0;
        return;
    }
    if( flag_id==_ALGLIB_USE_VENDOR_KERNELS )
    {
        _use_vendor_kernels = flag_val!=0;
        return;
    }
    if( flag_id==_ALGLIB_DEBUG_WORKSTEALING )
    {
        debug_workstealing = flag_val!=0;
        return;
    }
    if( flag_id==_ALGLIB_SET_GLOBAL_THREADING )
    {
        ae_set_global_threading((ae_uint64_t)flag_val);
        return;
    }
    if( flag_id==_ALGLIB_SET_NWORKERS )
    {
        _alglib_cores_to_use = (ae_int_t)flag_val;
        return;
    }
}

ae_int64_t ae_get_dbg_value(ae_int64_t id)
{
    if( id==_ALGLIB_GET_ALLOC_COUNTER )
        return _alloc_counter;
    if( id==_ALGLIB_GET_CUMULATIVE_ALLOC_SIZE )
        return _dbg_alloc_total;
    if( id==_ALGLIB_GET_CUMULATIVE_ALLOC_COUNT )
        return _alloc_counter_total;
    
    if( id==_ALGLIB_VENDOR_MEMSTAT )
    {
#if defined(AE_MKL)
        return ae_mkl_memstat();
#else
        return 0;
#endif
    }
    
    /* workstealing counters */
    if( id==_ALGLIB_WSDBG_NCORES )
#if defined(AE_SMP)
        return ae_cores_count();
#else
        return 0;
#endif
    if( id==_ALGLIB_WSDBG_PUSHROOT_OK )
        return dbgws_pushroot_ok;
    if( id==_ALGLIB_WSDBG_PUSHROOT_FAILED )
        return dbgws_pushroot_failed;
    
    if( id==_ALGLIB_GET_CORES_COUNT )
#if defined(AE_SMP)
        return ae_cores_count();
#else
        return 0;
#endif
    if( id==_ALGLIB_GET_GLOBAL_THREADING )
        return (ae_int64_t)ae_get_global_threading();
    if( id==_ALGLIB_GET_NWORKERS )
        return (ae_int64_t)_alglib_cores_to_use;
    
    /* unknown value */
    return 0;
}

/************************************************************************
This function sets default (global) threading model:
* serial execution
* multithreading, if cores_to_use allows it

************************************************************************/
void ae_set_global_threading(ae_uint64_t flg_value)
{
    flg_value = flg_value&_ALGLIB_FLG_THREADING_MASK;
    AE_CRITICAL_ASSERT(flg_value==_ALGLIB_FLG_THREADING_SERIAL || flg_value==_ALGLIB_FLG_THREADING_PARALLEL);
    _alglib_global_threading_flags = (unsigned char)(flg_value>>_ALGLIB_FLG_THREADING_SHIFT);
}

/************************************************************************
This function gets default (global) threading model:
* serial execution
* multithreading, if cores_to_use allows it

************************************************************************/
ae_uint64_t ae_get_global_threading()
{
    return ((ae_uint64_t)_alglib_global_threading_flags)<<_ALGLIB_FLG_THREADING_SHIFT;
}

void ae_set_error_flag(ae_bool *p_flag, ae_bool cond, const char *filename, int lineno, const char *xdesc)
{
    if( cond )
    {
        *p_flag = ae_true;
        sef_file = filename;
        sef_line = lineno;
        sef_xdesc= xdesc;
#ifdef ALGLIB_ABORT_ON_ERROR_FLAG
        printf("[ALGLIB] aborting on ae_set_error_flag(cond=true)\n");
        printf("[ALGLIB] %s:%d\n", filename, lineno);
        printf("[ALGLIB] %s\n", xdesc);
        fflush(stdout);
        if( alglib_trace_file!=NULL ) fflush(alglib_trace_file);
        abort();
#endif
    }
}

/************************************************************************
This function returns file name for the last call of ae_set_error_flag()
with non-zero cond parameter.
************************************************************************/
const char * ae_get_last_error_file()
{
    return sef_file;
}

/************************************************************************
This function returns line number for the last call of ae_set_error_flag()
with non-zero cond parameter.
************************************************************************/
int ae_get_last_error_line()
{
    return sef_line;
}

/************************************************************************
This function returns extra description for the last call of ae_set_error_flag()
with non-zero cond parameter.
************************************************************************/
const char * ae_get_last_error_xdesc()
{
    return sef_xdesc;
}

ae_int_t ae_misalignment(const void *ptr, size_t alignment)
{
    union _u
    {
        const void *ptr;
        ae_int_t iptr;
    } u;
    u.ptr = ptr;
    return (ae_int_t)(u.iptr%alignment);
}

void* ae_align(void *ptr, size_t alignment)
{
    char *result = (char*)ptr;
    if( (result-(char*)0)%alignment!=0 )
        result += alignment - (result-(char*)0)%alignment;
    return result;
}

/************************************************************************
This function maps nworkers  number  (which  can  be  positive,  zero  or
negative with 0 meaning "all cores", -1 meaning "all cores -1" and so on)
to "effective", strictly positive workers count.

This  function  is  intended  to  be used by debugging/testing code which
tests different number of worker threads. It is NOT aligned  in  any  way
with ALGLIB multithreading framework (i.e. it can return  non-zero worker
count even for single-threaded GPLed ALGLIB).
************************************************************************/
ae_int_t ae_get_effective_workers(ae_int_t nworkers)
{
    ae_int_t ncores;
    
    /* determine cores count */
#if defined(AE_NWORKERS)
    ncores = AE_NWORKERS;
#elif AE_OS==AE_WINDOWS
    SYSTEM_INFO sysInfo;
    GetSystemInfo(&sysInfo);
    ncores = (ae_int_t)(sysInfo.dwNumberOfProcessors);
#elif AE_OS==AE_POSIX
    {
        long r = sysconf(_SC_NPROCESSORS_ONLN);
        ncores = r<=0 ? 1 : r;
    }
#else
    ncores = 1;
#endif
    AE_CRITICAL_ASSERT(ncores>=1);

    /* map nworkers to its effective value */
    if( nworkers>=1 )
        return nworkers>ncores ? ncores : nworkers;
    return ncores+nworkers>=1 ? ncores+nworkers : 1;
}

/*************************************************************************
This function belongs to the family of  "optional  atomics",  i.e.  atomic
functions which either perform atomic changes - or do nothing at  all,  if
current compiler settings do not allow us to generate atomic code.

All "optional atomics" are synchronized, i.e. either all of them work - or
no one of the works.

This particular function performs atomic addition on pointer-sized  value,
which must be pointer-size aligned.

NOTE: this function is not intended to be extremely high performance  one,
      so use it only when necessary.
*************************************************************************/
void  ae_optional_atomic_add_i(ae_int_t *p, ae_int_t v)
{
    AE_CRITICAL_ASSERT(ae_misalignment(p,sizeof(void*))==0);
#if AE_OS==AE_WINDOWS
    for(;;)
    {
        /* perform conversion between ae_int_t* and void**
           without compiler warnings about indirection levels */
        union _u
        {
            PVOID volatile * volatile ptr;
            volatile ae_int_t * volatile iptr;
        } u;
        u.iptr = p;
    
        /* atomic read for initial value */
        PVOID v0 = InterlockedCompareExchangePointer(u.ptr, NULL, NULL);
    
        /* increment cached value and store */
        if( InterlockedCompareExchangePointer(u.ptr, (PVOID)(((char*)v0)+v), v0)==v0 )
            break;
    }
#elif defined(__clang__) && (AE_CPU==AE_INTEL)
    __atomic_fetch_add(p, v, __ATOMIC_RELAXED);
#elif (AE_COMPILER==AE_GNUC) && (AE_CPU==AE_INTEL) && (__GNUC__*100+__GNUC__>=470)
    __atomic_add_fetch(p, v, __ATOMIC_RELAXED);
#else
#endif
}

/*************************************************************************
This function belongs to the family of  "optional  atomics",  i.e.  atomic
functions which either perform atomic changes - or do nothing at  all,  if
current compiler settings do not allow us to generate atomic code.

All "optional atomics" are synchronized, i.e. either all of them work - or
no one of the works.

This  particular  function  performs  atomic  subtraction on pointer-sized
value, which must be pointer-size aligned.

NOTE: this function is not intended to be extremely high performance  one,
      so use it only when necessary.
*************************************************************************/
void  ae_optional_atomic_sub_i(ae_int_t *p, ae_int_t v)
{
    AE_CRITICAL_ASSERT(ae_misalignment(p,sizeof(void*))==0);
#if AE_OS==AE_WINDOWS
    for(;;)
    {
        /* perform conversion between ae_int_t* and void**
           without compiler warnings about indirection levels */
        union _u
        {
            PVOID volatile * volatile ptr;
            volatile ae_int_t * volatile iptr;
        } u;
        u.iptr = p;
        
        /* atomic read for initial value, convert it to 1-byte pointer */
        PVOID v0 = InterlockedCompareExchangePointer(u.ptr, NULL, NULL);
    
        /* increment cached value and store */
        if( InterlockedCompareExchangePointer(u.ptr, (PVOID)(((char*)v0)-v), v0)==v0 )
            break;
    }
#elif defined(__clang__) && (AE_CPU==AE_INTEL)
    __atomic_fetch_sub(p, v, __ATOMIC_RELAXED);
#elif (AE_COMPILER==AE_GNUC) && (AE_CPU==AE_INTEL) && (__GNUC__*100+__GNUC__>=470)
    __atomic_sub_fetch(p, v, __ATOMIC_RELAXED);
#else
#endif
}


/*************************************************************************
This function cleans up automatically managed memory before caller terminates
ALGLIB executing by ae_break() or by simply stopping calling callback.

For state!=NULL it calls thread_exception_handler() and the ae_state_clear().
For state==NULL it does nothing.
*************************************************************************/
void ae_clean_up_before_breaking(ae_state *state)
{
    if( state!=NULL )
    {
        if( state->thread_exception_handler!=NULL )
            state->thread_exception_handler(state);
        ae_state_clear(state);
    }
}

/*************************************************************************
This function abnormally aborts program, using one of several ways:

* for state!=NULL and state->break_jump being initialized with  call  to
  ae_state_set_break_jump() - it performs longjmp() to return site.
* otherwise, abort() is called
  
In   all  cases,  for  state!=NULL  function  sets  state->last_error  and
state->error_msg fields. It also clears state with ae_state_clear().
  
If state is not NULL and state->thread_exception_handler  is  set,  it  is
called prior to handling error and clearing state.
*************************************************************************/
void ae_break(ae_state *state, ae_error_type error_type, const char *msg)
{
    if( state!=NULL )
    {
        if( alglib_trace_type!=ALGLIB_TRACE_NONE )
            ae_trace("---!!! CRITICAL ERROR !!!--- exception with message '%s' was generated\n", msg!=NULL ? msg : "");
        ae_clean_up_before_breaking(state);
        state->last_error = error_type;
        state->error_msg = msg;
        if( state->break_jump!=NULL )
            longjmp(*(state->break_jump), 1);
        else
            abort();
    }
    else
        abort();
}

#if AE_MALLOC==AE_BASIC_STATIC_MALLOC
void set_memory_pool(void *ptr, size_t size)
{
    /*
     * Integrity checks
     */
    AE_CRITICAL_ASSERT(sm_page_size==0);
    AE_CRITICAL_ASSERT(sm_page_cnt==0);
    AE_CRITICAL_ASSERT(sm_page_tbl==NULL);
    AE_CRITICAL_ASSERT(sm_mem==NULL);
    AE_CRITICAL_ASSERT(size>0);
    
    /*
     * Align pointer
     */
    size -= ae_misalignment(ptr, sizeof(ae_int_t));
    ptr   = ae_align(ptr, sizeof(ae_int_t));
    
    /*
     * Calculate page size and page count, prepare pointers to page table and memory
     */
    sm_page_size = 256;
    AE_CRITICAL_ASSERT(size>=(sm_page_size+sizeof(ae_int_t))+sm_page_size); /* we expect to have memory for at least one page + table entry + alignment */
    sm_page_cnt = (size-sm_page_size)/(sm_page_size+sizeof(ae_int_t));
    AE_CRITICAL_ASSERT(sm_page_cnt>0);
    sm_page_tbl = (ae_int_t*)ptr;
    sm_mem      = (unsigned char*)ae_align(sm_page_tbl+sm_page_cnt, sm_page_size);
    
    /*
     * Mark all pages as free
     */
    memset(sm_page_tbl, 0, sm_page_cnt*sizeof(ae_int_t));
}

void* ae_static_malloc(size_t size, size_t alignment)
{
    int rq_pages, i, j, cur_len;
    
    AE_CRITICAL_ASSERT(size>=0);
    AE_CRITICAL_ASSERT(sm_page_size>0);
    AE_CRITICAL_ASSERT(sm_page_cnt>0);
    AE_CRITICAL_ASSERT(sm_page_tbl!=NULL);
    AE_CRITICAL_ASSERT(sm_mem!=NULL);
    
    if( size==0 )
        return NULL;
    if( _force_malloc_failure )
        return NULL;
    
    /* check that page alignment and requested alignment match each other */
    AE_CRITICAL_ASSERT(alignment<=sm_page_size);
    AE_CRITICAL_ASSERT((sm_page_size%alignment)==0);
    
    /* search long enough sequence of pages */
    rq_pages = size/sm_page_size;
    if( size%sm_page_size )
        rq_pages++;
    cur_len = 0;
    for(i=0; i<sm_page_cnt;)
    {
        /* determine length of the sequence of free pages */
        if( sm_page_tbl[i]==0 )
            cur_len++;
        else
        {
            AE_CRITICAL_ASSERT(sm_page_tbl[i]>0);
            cur_len=0;
            i += sm_page_tbl[i];
            continue;
        }
        
        /* found it? */
        if( cur_len>=rq_pages )
        {
            /* update counters (if flag is set) */
            if( _use_alloc_counter )
            {
                ae_optional_atomic_add_i(&_alloc_counter, 1);
                ae_optional_atomic_add_i(&_alloc_counter_total, 1);
            }
            if( _use_dbg_counters )
                ae_optional_atomic_add_i(&_dbg_alloc_total, size);
            
            /* mark pages and return */
            for(j=0; j<rq_pages; j++)
                sm_page_tbl[i-j] = -1;
            sm_page_tbl[i-(rq_pages-1)] = rq_pages;
            return sm_mem+(i-(rq_pages-1))*sm_page_size;
        }
        
        /* next element */
        i++;
    }
    return NULL;
}

void ae_static_free(void *block)
{
    ae_int_t page_idx, page_cnt, i;
    if( block==NULL )
        return;
    page_idx = (unsigned char*)block-sm_mem;
    AE_CRITICAL_ASSERT(page_idx>=0);
    AE_CRITICAL_ASSERT((page_idx%sm_page_size)==0);
    page_idx = page_idx/sm_page_size;
    AE_CRITICAL_ASSERT(page_idx<sm_page_cnt);
    page_cnt = sm_page_tbl[page_idx];
    AE_CRITICAL_ASSERT(page_cnt>=1);
    for(i=0; i<page_cnt; i++)
        sm_page_tbl[page_idx+i] = 0;
    
    /* update counters (if flag is set) */
    if( _use_alloc_counter )
        ae_optional_atomic_sub_i(&_alloc_counter, 1);
}

void memory_pool_stats(ae_int_t *bytes_used, ae_int_t *bytes_free)
{
    int i;
    
    AE_CRITICAL_ASSERT(sm_page_size>0);
    AE_CRITICAL_ASSERT(sm_page_cnt>0);
    AE_CRITICAL_ASSERT(sm_page_tbl!=NULL);
    AE_CRITICAL_ASSERT(sm_mem!=NULL);
    
    /* scan page table */
    *bytes_used = 0;
    *bytes_free = 0;
    for(i=0; i<sm_page_cnt;)
    {
        if( sm_page_tbl[i]==0 )
        {
            (*bytes_free)++;
            i++;
        }
        else
        {
            AE_CRITICAL_ASSERT(sm_page_tbl[i]>0);
            *bytes_used += sm_page_tbl[i];
            i += sm_page_tbl[i];
        }
    }
    *bytes_used *= sm_page_size;
    *bytes_free *= sm_page_size;
}
#endif

void* aligned_malloc(size_t size, size_t alignment)
{
#if AE_MALLOC==AE_BASIC_STATIC_MALLOC
    return ae_static_malloc(size, alignment);
#else
    char *result = NULL;
    void *block;
    size_t alloc_size;
#if defined(ALGLIB_REDZONE)
    char *redzone0;
    char *redzone1;
#endif
    
    if( size==0 )
        return NULL;
    if( _force_malloc_failure )
        return NULL;
    if( _malloc_failure_after>0 && _alloc_counter_total>=_malloc_failure_after )
        return NULL;
    
    /*
     * Allocate, handling case with alignment=1 specially (no padding is added)
     *
     */
    alloc_size = 2*sizeof(void*)+size;
    if( alignment>1 )
        alloc_size += alignment-1;
#if defined(ALGLIB_REDZONE)
    alloc_size += 2*(ALGLIB_REDZONE);
#endif
    block = malloc(alloc_size);
    if( block==NULL )
        return NULL;
    result = (char*)block+2*sizeof(void*);
    result = (char*)ae_align(result, alignment);
    *((void**)(result-sizeof(void*))) = block;
#if defined(ALGLIB_REDZONE)
    redzone0 = result;
    result   = redzone0+(ALGLIB_REDZONE);
    redzone1 = result+size;
    ae_assert(ae_misalignment(result,alignment)==0, "ALGLIB: improperly configured red zone size - is not multiple of the current alignment", NULL);
    *((void**)(redzone0-2*sizeof(void*))) = redzone1;
    memset(redzone0, _ALGLIB_REDZONE_VAL, ALGLIB_REDZONE);
    memset(redzone1, _ALGLIB_REDZONE_VAL, ALGLIB_REDZONE);
#endif
    
    /* update counters (if flag is set) */
    if( _use_alloc_counter )
    {
        ae_optional_atomic_add_i(&_alloc_counter, 1);
        ae_optional_atomic_add_i(&_alloc_counter_total, 1);
    }
    if( _use_dbg_counters )
        ae_optional_atomic_add_i(&_dbg_alloc_total, (ae_int_t)size);
    
    /* return */
    return (void*)result;
#endif
}

void* aligned_extract_ptr(void *block)
{
#if AE_MALLOC==AE_BASIC_STATIC_MALLOC
    return NULL;
#else
    char *ptr;
    if( block==NULL )
        return NULL;
    ptr = (char*)block;
#if defined(ALGLIB_REDZONE)
    ptr -= (ALGLIB_REDZONE);
#endif
    ptr -= sizeof(void*);
    return *((void**)ptr);
#endif
}

void aligned_free(void *block)
{
#if AE_MALLOC==AE_BASIC_STATIC_MALLOC
    ae_static_free(block);
#else
    /*
     * Handle NULL input
     */
    if( block==NULL )
        return;
    
    /*
     * If red zone is activated, check it before deallocation
     */
#if defined(ALGLIB_REDZONE)
    {
        char *redzone0 = (char*)block-(ALGLIB_REDZONE);
        char *redzone1 = (char*)(*((void**)(redzone0-2*sizeof(void*))));
        ae_int_t i;
        for(i=0; i<(ALGLIB_REDZONE); i++)
        {
            if( redzone0[i]!=_ALGLIB_REDZONE_VAL )
            {
                const char *msg = "ALGLIB: red zone corruption is detected (write prior to the block beginning?)";
                fprintf(stderr, "%s\n", msg);
                ae_assert(ae_false, msg, NULL);
            }
            if( redzone1[i]!=_ALGLIB_REDZONE_VAL )
            {
                const char *msg = "ALGLIB: red zone corruption is detected (write past the end of the block?)";
                fprintf(stderr, "%s\n", msg);
                ae_assert(ae_false, msg, NULL);
            }
        }
    }
#endif
    
    /*
     * Free the memory and optionally update allocation counters
     */
    free(aligned_extract_ptr(block));
    if( _use_alloc_counter )
        ae_optional_atomic_sub_i(&_alloc_counter, 1);
#endif
}

void* eternal_malloc(size_t size)
{
    if( size==0 )
        return NULL;
    if( _force_malloc_failure )
        return NULL;
    return malloc(size);
}

/************************************************************************
Allocate memory with automatic alignment.

Returns NULL when zero size is specified.

Error handling:
* if state is NULL, returns NULL on allocation error
* if state is not NULL, calls ae_break() on allocation error
************************************************************************/
void* ae_malloc(size_t size, ae_state *state)
{
    void *result;
    if( size==0 )
        return NULL;
    result = aligned_malloc(size,AE_DATA_ALIGN);
    if( result==NULL && state!=NULL)
        ae_break(state, ERR_OUT_OF_MEMORY, "ae_malloc(): out of memory");
    return result;
}

void ae_free(void *p)
{
    if( p!=NULL )
        aligned_free(p);
}

/************************************************************************
Sets pointers to the matrix rows.

* dst must be correctly initialized matrix
* dst->data.ptr points to the beginning of memory block  allocated  for  
  row pointers.
* dst->ptr - undefined (initialized during algorithm processing)
* storage parameter points to the beginning of actual storage
************************************************************************/
void ae_matrix_update_row_pointers(ae_matrix *dst, void *storage)
{
    char *p_base;
    void **pp_ptr;
    ae_int_t i;
    if( dst->rows>0 && dst->cols>0 )
    {
        p_base = (char*)storage;
        pp_ptr = (void**)dst->data.ptr;
        dst->ptr.pp_void = pp_ptr;
        for(i=0; i<dst->rows; i++, p_base+=dst->stride*ae_sizeof(dst->datatype))
            pp_ptr[i] = p_base;
    }
    else
        dst->ptr.pp_void = NULL;
}

/************************************************************************
Returns size of datatype.
Zero for dynamic types like strings or multiple precision types.
************************************************************************/
ae_int_t ae_sizeof(ae_datatype datatype)
{
    switch(datatype)
    {
        case DT_BOOL:       return (ae_int_t)sizeof(ae_bool);
        case DT_INT:        return (ae_int_t)sizeof(ae_int_t);
        case DT_REAL:       return (ae_int_t)sizeof(double);
        case DT_COMPLEX:    return 2*(ae_int_t)sizeof(double);
        default:            return 0;
    }
}

/************************************************************************
Checks that n bytes pointed by ptr are zero.

This function is used in the constructors to check that  instance  fields
on entry are correctly initialized by zeros.
************************************************************************/
ae_bool ae_check_zeros(const void *ptr, ae_int_t n)
{
    ae_int_t nu, nr, i;
    unsigned long long c = 0x0;
    
    /*
     * determine leading and trailing lengths
     */
    nu = n/sizeof(unsigned long long);
    nr = n%sizeof(unsigned long long);
    
    /*
     * handle leading nu long long elements
     */
    if( nu>0 )
    {
        const unsigned long long *p_ull;
        p_ull = (const unsigned long long *)ptr;
        for(i=0; i<nu; i++)
            c |= p_ull[i];
    }
    
    /*
     * handle trailing nr char elements
     */
    if( nr>0 )
    {
        const unsigned char *p_uc;
        p_uc  = ((const unsigned char *)ptr)+nu*sizeof(unsigned long long);
        for(i=0; i<nr; i++)
            c |= p_uc[i];
    }
    
    /*
     * done
     */
    return c==0x0;
}


/************************************************************************
This  dummy  function  is  used to prevent compiler messages about unused
locals in automatically generated code.

It makes nothing - just accepts pointer, "touches" it - and that is  all.
It performs several tricky operations without side effects which  confuse
compiler so it does not compain about unused locals in THIS function.
************************************************************************/
void ae_touch_ptr(void *p)
{
    void * volatile fake_variable0 = p;
    void * volatile fake_variable1 = fake_variable0;
    fake_variable0 = fake_variable1;
}

/************************************************************************
This function initializes ALGLIB environment state.

NOTES:
* stacks contain no frames, so ae_make_frame() must be called before
  attaching dynamic blocks. Without it ae_leave_frame() will cycle
  forever (which is intended behavior).
************************************************************************/
void ae_state_init(ae_state *state)
{
    ae_int32_t *vp;
    
    /*
     * Set flags
     */
    state->flags = 0x0;

    /*
     * p_next points to itself because:
     * * correct program should be able to detect end of the list
     *   by looking at the ptr field.
     * * NULL p_next may be used to distinguish automatic blocks
     *   (in the list) from non-automatic (not in the list)
     */
    state->last_block.p_next = &(state->last_block);
    state->last_block.deallocator = NULL;
    state->last_block.ptr = DYN_BOTTOM;
    state->p_top_block = &(state->last_block);
    state->break_jump = NULL;
    state->error_msg = "";
    
    /*
     * determine endianness and initialize precomputed IEEE special quantities.
     */
    state->endianness = ae_get_endianness();
    if( state->endianness==AE_LITTLE_ENDIAN )
    {
        vp = (ae_int32_t*)(&state->v_nan);
        vp[0] = 0;
        vp[1] = (ae_int32_t)0x7FF80000;
        vp = (ae_int32_t*)(&state->v_posinf);
        vp[0] = 0;
        vp[1] = (ae_int32_t)0x7FF00000;
        vp = (ae_int32_t*)(&state->v_neginf);
        vp[0] = 0;
        vp[1] = (ae_int32_t)0xFFF00000;
    }
    else if( state->endianness==AE_BIG_ENDIAN )
    {
        vp = (ae_int32_t*)(&state->v_nan);
        vp[1] = 0;
        vp[0] = (ae_int32_t)0x7FF80000;
        vp = (ae_int32_t*)(&state->v_posinf);
        vp[1] = 0;
        vp[0] = (ae_int32_t)0x7FF00000;
        vp = (ae_int32_t*)(&state->v_neginf);
        vp[1] = 0;
        vp[0] = (ae_int32_t)0xFFF00000;
    }
    else
        abort();
    
    /*
     * set threading information
     */
    state->worker_thread = NULL;
    state->parent_task = NULL;
    state->thread_exception_handler = NULL;
}


/************************************************************************
This function clears ALGLIB environment state.
All dynamic data controlled by state are freed.
************************************************************************/
void ae_state_clear(ae_state *state)
{
    while( state->p_top_block->ptr!=DYN_BOTTOM )
        ae_frame_leave(state);
}


/************************************************************************
This function sets jump buffer for error handling.

buf may be NULL.
************************************************************************/
void ae_state_set_break_jump(ae_state *state, jmp_buf *buf)
{
    state->break_jump = buf;
}


/************************************************************************
This function sets flags member of the ae_state structure

buf may be NULL.
************************************************************************/
void ae_state_set_flags(ae_state *state, ae_uint64_t flags)
{
    state->flags = flags;
}


/************************************************************************
This function makes new stack frame.

This function takes two parameters: environment state and pointer to  the
dynamic block which will be used as indicator  of  the  frame  beginning.
This dynamic block must be initialized by caller and mustn't  be changed/
deallocated/reused till ae_leave_frame called. It may be global or  local
variable (local is even better).
************************************************************************/
void ae_frame_make(ae_state *state, ae_frame *tmp)
{
    tmp->db_marker.p_next = state->p_top_block;
    tmp->db_marker.deallocator = NULL;
    tmp->db_marker.ptr = DYN_FRAME;
    state->p_top_block = &tmp->db_marker;
}


/************************************************************************
This function leaves current stack frame and deallocates all automatic
dynamic blocks which were attached to this frame.
************************************************************************/
void ae_frame_leave(ae_state *state)
{
    while( state->p_top_block->ptr!=DYN_FRAME && state->p_top_block->ptr!=DYN_BOTTOM)
    {
        if( state->p_top_block->ptr!=NULL && state->p_top_block->deallocator!=NULL)
            ((ae_deallocator)(state->p_top_block->deallocator))(state->p_top_block->ptr);
        state->p_top_block = state->p_top_block->p_next;
    }
    state->p_top_block = state->p_top_block->p_next;
}


/************************************************************************
This function attaches block to the dynamic block list

block               block
state               ALGLIB environment state

This function does NOT generate exceptions.

NOTES:
* never call it for special blocks which marks frame boundaries!
************************************************************************/
void ae_db_attach(ae_dyn_block *block, ae_state *state)
{
    block->p_next = state->p_top_block;
    state->p_top_block = block;
}


/************************************************************************
This function initializes dynamic block:

block               destination block, MUST be zero-filled on entry
size                size (in bytes), >=0.
state               ALGLIB environment state, non-NULL
make_automatic      if true, vector is added to the dynamic block list

block is assumed to be uninitialized, its fields are ignored. You may
call this function with zero size in order to register block in the
dynamic list.

Error handling: calls ae_break() on allocation error. Block is left in
valid state (empty, but valid).

NOTES:
* never call it for blocks which are already in the list; use ae_db_realloc
  for already allocated blocks.

NOTE: no memory allocation is performed for initialization with size=0
************************************************************************/
void ae_db_init(ae_dyn_block *block, ae_int_t size, ae_state *state, ae_bool make_automatic)
{
    AE_CRITICAL_ASSERT(state!=NULL);
    AE_CRITICAL_ASSERT(ae_check_zeros(block,sizeof(*block)));
    
    /*
     * NOTE: these strange dances around block->ptr are necessary
     *       in order to correctly handle possible exceptions during
     *       memory allocation.
     */
    ae_assert(size>=0, "ae_db_init(): negative size", state);
    block->ptr = NULL;
    block->valgrind_hint = NULL;
    ae_touch_ptr(block->ptr);
    ae_touch_ptr(block->valgrind_hint);
    if( make_automatic )
        ae_db_attach(block, state);
    else
        block->p_next = NULL;
    if( size!=0 )
    {
        block->ptr = ae_malloc((size_t)size, state);
        block->valgrind_hint = aligned_extract_ptr(block->ptr);
    }
    block->deallocator = ae_free;
}


/************************************************************************
This function realloc's dynamic block:

block               destination block (initialized)
size                new size (in bytes)
state               ALGLIB environment state

block is assumed to be initialized.

This function:
* deletes old contents
* preserves automatic state

Error handling: calls ae_break() on allocation error. Block is left in
valid state - empty, but valid.

NOTES:
* never call it for special blocks which mark frame boundaries!
************************************************************************/
void ae_db_realloc(ae_dyn_block *block, ae_int_t size, ae_state *state)
{
    AE_CRITICAL_ASSERT(state!=NULL);
    
    /*
     * NOTE: these strange dances around block->ptr are necessary
     *       in order to correctly handle possible exceptions during
     *       memory allocation.
     */
    ae_assert(size>=0, "ae_db_realloc(): negative size", state);
    if( block->ptr!=NULL )
    {
        ((ae_deallocator)block->deallocator)(block->ptr);
        block->ptr = NULL;
        block->valgrind_hint = NULL;
    }
    block->ptr = ae_malloc((size_t)size, state);
    block->valgrind_hint = aligned_extract_ptr(block->ptr);
    block->deallocator = ae_free;
}


/************************************************************************
This function clears dynamic block (releases  all  dynamically  allocated
memory). Dynamic block may be in automatic management list - in this case
it will NOT be removed from list.

block               destination block (initialized)

NOTES:
* never call it for special blocks which marks frame boundaries!
************************************************************************/
void ae_db_free(ae_dyn_block *block)
{
    if( block->ptr!=NULL )
        ((ae_deallocator)block->deallocator)(block->ptr);
    block->ptr = NULL;
    block->valgrind_hint = NULL;
    block->deallocator = ae_free;
}

/************************************************************************
This function swaps contents of two dynamic blocks (pointers and 
deallocators) leaving other parameters (automatic management settings, 
etc.) unchanged.

NOTES:
* never call it for special blocks which marks frame boundaries!
************************************************************************/
void ae_db_swap(ae_dyn_block *block1, ae_dyn_block *block2)
{
    void (*deallocator)(void*) = NULL;
    void * volatile ptr;
    void * valgrind_hint;
    
    ptr = block1->ptr;
    valgrind_hint = block1->valgrind_hint;
    deallocator = block1->deallocator;
    
    block1->ptr = block2->ptr;
    block1->valgrind_hint = block2->valgrind_hint;
    block1->deallocator = block2->deallocator;
    
    block2->ptr = ptr;
    block2->valgrind_hint = valgrind_hint;
    block2->deallocator = deallocator;
}

/*************************************************************************
This function creates ae_vector.
Vector size may be zero. Vector contents is uninitialized.

dst                 destination vector, MUST be zero-filled (we  check  it
                    and call abort() if *dst is non-zero; the rationale is
                    that we can not correctly handle errors in constructors
                    without zero-filling).
size                vector size, may be zero
datatype            guess what...
state               pointer to current state structure. Can not be NULL.
                    used for exception handling (say, allocation error results
                    in longjmp call).
make_automatic      if true, vector will be registered in the current frame
                    of the state structure;

NOTE: no memory allocation is performed for initialization with size=0
*************************************************************************/
void ae_vector_init(ae_vector *dst, ae_int_t size, ae_datatype datatype, ae_state *state, ae_bool make_automatic)
{
    /*
     * Integrity checks
     */
    AE_CRITICAL_ASSERT(state!=NULL);
    AE_CRITICAL_ASSERT(ae_check_zeros(dst,sizeof(*dst)));
    ae_assert(size>=0, "ae_vector_init(): negative size", state);
    
    /* prepare for possible errors during allocation */
    dst->cnt = 0;
    dst->ptr.p_ptr = NULL;
    
    /* init */
    ae_db_init(&dst->data, size*ae_sizeof(datatype), state, make_automatic);
    dst->cnt = size;
    dst->datatype = datatype;
    dst->ptr.p_ptr = dst->data.ptr;
    dst->is_attached = ae_false;
}


/************************************************************************
This function creates copy of ae_vector. New copy of the data is created,
which is managed and owned by newly initialized vector.

dst                 destination vector, MUST be zero-filled (we  check  it
                    and call abort() if *dst is non-zero; the rationale is
                    that we can not correctly handle errors in constructors
                    without zero-filling).
src                 well, it is source
state               pointer to current state structure. Can not be NULL.
                    used for exception handling (say, allocation error results
                    in longjmp call).
make_automatic      if true, vector will be registered in the current frame
                    of the state structure;

dst is assumed to be uninitialized, its fields are ignored.
************************************************************************/
void ae_vector_init_copy(ae_vector *dst, ae_vector *src, ae_state *state, ae_bool make_automatic)
{
    AE_CRITICAL_ASSERT(state!=NULL);
    
    ae_vector_init(dst, src->cnt, src->datatype, state, make_automatic);
    if( src->cnt!=0 )
        memmove(dst->ptr.p_ptr, src->ptr.p_ptr, (size_t)(src->cnt*ae_sizeof(src->datatype)));
}

/************************************************************************
This function initializes ae_vector using X-structure as source. New copy
of data is created, which is owned/managed by ae_vector  structure.  Both
structures (source and destination) remain completely  independent  after
this call.

dst                 destination vector, MUST be zero-filled (we  check  it
                    and call abort() if *dst is non-zero; the rationale is
                    that we can not correctly handle errors in constructors
                    without zero-filling).
src                 well, it is source
state               pointer to current state structure. Can not be NULL.
                    used for exception handling (say, allocation error results
                    in longjmp call).
make_automatic      if true, vector will be registered in the current frame
                    of the state structure;

dst is assumed to be uninitialized, its fields are ignored.
************************************************************************/
void ae_vector_init_from_x(ae_vector *dst, x_vector *src, ae_state *state, ae_bool make_automatic)
{
    AE_CRITICAL_ASSERT(state!=NULL);
    
    ae_vector_init(dst, (ae_int_t)src->cnt, (ae_datatype)src->datatype, state, make_automatic);
    if( src->cnt>0 )
        memmove(dst->ptr.p_ptr, src->x_ptr.p_ptr, (size_t)(((ae_int_t)src->cnt)*ae_sizeof((ae_datatype)src->datatype)));
}

/************************************************************************
This function initializes ae_vector using X-structure as source.

New vector is attached to source:
* DST shares memory with SRC
* both DST and SRC are writable - all writes to DST  change  elements  of
  SRC and vice versa.
* DST can be reallocated with ae_vector_set_length(), in  this  case  SRC
  remains untouched
* SRC, however, CAN NOT BE REALLOCATED AS LONG AS DST EXISTS

NOTE: is_attached field is set  to  ae_true  in  order  to  indicate  that
      vector does not own its memory.

dst                 destination vector
src                 well, it is source
state               pointer to current state structure. Can not be NULL.
                    used for exception handling (say, allocation error results
                    in longjmp call).
make_automatic      if true, vector will be registered in the current frame
                    of the state structure;

dst is assumed to be uninitialized, its fields are ignored.
************************************************************************/
void ae_vector_init_attach_to_x(ae_vector *dst, x_vector *src, ae_state *state, ae_bool make_automatic)
{
    volatile ae_int_t cnt;
    
    AE_CRITICAL_ASSERT(state!=NULL);
    AE_CRITICAL_ASSERT(ae_check_zeros(dst,sizeof(*dst)));
    
    cnt = (ae_int_t)src->cnt;
    
    /* ensure that size is correct */
    ae_assert(cnt==src->cnt,  "ae_vector_init_attach_to_x(): 32/64 overflow", state);
    ae_assert(cnt>=0,         "ae_vector_init_attach_to_x(): negative length", state);
    
    /* prepare for possible errors during allocation */
    dst->cnt = 0;
    dst->ptr.p_ptr = NULL;
    dst->datatype = (ae_datatype)src->datatype;
    
    /* zero-size init in order to correctly register in the frame */
    ae_db_init(&dst->data, 0, state, make_automatic);
    
    /* init */
    dst->cnt = cnt;
    dst->ptr.p_ptr = src->x_ptr.p_ptr;
    dst->is_attached = ae_true;
}

/************************************************************************
This function changes length of ae_vector.

dst                 destination vector
newsize             vector size, may be zero
state               ALGLIB environment state, can not be NULL

Error handling: calls ae_break() on allocation error

NOTES:
* vector must be initialized
* all contents is destroyed during setlength() call
* new size may be zero.
************************************************************************/
void ae_vector_set_length(ae_vector *dst, ae_int_t newsize, ae_state *state)
{
    AE_CRITICAL_ASSERT(state!=NULL);
    ae_assert(newsize>=0, "ae_vector_set_length(): negative size", state);
    if( dst->cnt==newsize )
        return;
    
    /* realloc, being ready for exception during reallocation (cnt=ptr=0 on entry) */
    dst->cnt = 0;
    dst->ptr.p_ptr = NULL;
    ae_db_realloc(&dst->data, newsize*ae_sizeof(dst->datatype), state);
    dst->cnt = newsize;
    dst->ptr.p_ptr = dst->data.ptr;
}

/************************************************************************
This function resized ae_vector, preserving previously existing elements.
Values of elements added during vector growth is undefined.

dst                 destination vector
newsize             vector size, may be zero
state               ALGLIB environment state, can not be NULL

Error handling: calls ae_break() on allocation error

NOTES:
* vector must be initialized
* new size may be zero.
************************************************************************/
void ae_vector_resize(ae_vector *dst, ae_int_t newsize, ae_state *state)
{
    ae_vector tmp;
    ae_int_t bytes_total;
    
    memset(&tmp, 0, sizeof(tmp));
    ae_vector_init(&tmp, newsize, dst->datatype, state, ae_false);
    bytes_total = (dst->cnt<newsize ? dst->cnt : newsize)*ae_sizeof(dst->datatype);
    if( bytes_total>0 )
        memmove(tmp.ptr.p_ptr, dst->ptr.p_ptr, bytes_total);
    ae_swap_vectors(dst, &tmp);
    ae_vector_clear(&tmp);
}


/************************************************************************
This  function  provides  "CLEAR"  functionality  for vector (contents is
cleared, but structure still left in valid state).

The  function clears vector contents (releases all dynamically  allocated
memory). Vector may be in automatic management list  -  in this  case  it
will NOT be removed from list.

IMPORTANT: this function does NOT invalidates dst; it just  releases  all
dynamically allocated storage, but dst still may be used  after  call  to
ae_vector_set_length().

dst                 destination vector
************************************************************************/
void ae_vector_clear(ae_vector *dst)
{
    dst->cnt = 0;
    ae_db_free(&dst->data);
    dst->ptr.p_ptr = 0;
    dst->is_attached = ae_false;
}


/************************************************************************
This  function  provides "DESTROY"  functionality for vector (contents is
cleared, all internal structures are destroyed). For vectors it  is  same
as CLEAR.

dst                 destination vector
************************************************************************/
void ae_vector_destroy(ae_vector *dst)
{
    ae_vector_clear(dst);
}


/************************************************************************
This function efficiently swaps contents of two vectors, leaving other
pararemeters (automatic management, etc.) unchanged.
************************************************************************/
void ae_swap_vectors(ae_vector *vec1, ae_vector *vec2)
{
    ae_int_t cnt;
    ae_datatype datatype;
    void *p_ptr;
    
    ae_assert(!vec1->is_attached, "ALGLIB: internal error, attempt to swap vectors attached to X-object", NULL);
    ae_assert(!vec2->is_attached, "ALGLIB: internal error, attempt to swap vectors attached to X-object", NULL);
    
    ae_db_swap(&vec1->data, &vec2->data);
    
    cnt = vec1->cnt;
    datatype = vec1->datatype;
    p_ptr = vec1->ptr.p_ptr;
    vec1->cnt = vec2->cnt;
    vec1->datatype = vec2->datatype;
    vec1->ptr.p_ptr = vec2->ptr.p_ptr;
    vec2->cnt = cnt;
    vec2->datatype = datatype;
    vec2->ptr.p_ptr = p_ptr;
}

/************************************************************************
This function creates ae_matrix.

Matrix size may be zero, in such cases both rows and cols are zero.
Matrix contents is uninitialized.

dst                 destination matrix, must be zero-filled
rows                rows count
cols                cols count
datatype            element type
state               pointer to current state structure. Can not be NULL.
                    used for exception handling (say, allocation error results
                    in longjmp call).
make_automatic      if true, matrix will be registered in the current frame
                    of the state structure;

dst is assumed to be uninitialized, its fields are ignored.

NOTE: no memory allocation is performed for initialization with rows=cols=0
************************************************************************/
void ae_matrix_init(ae_matrix *dst, ae_int_t rows, ae_int_t cols, ae_datatype datatype, ae_state *state, ae_bool make_automatic)
{
    AE_CRITICAL_ASSERT(state!=NULL);
    AE_CRITICAL_ASSERT(ae_check_zeros(dst,sizeof(*dst)));
    
    ae_assert(rows>=0 && cols>=0, "ae_matrix_init(): negative length", state);

    /* if one of rows/cols is zero, another MUST be too; perform quick exit */
    if( rows==0 || cols==0 )
    {
        dst->rows = 0;
        dst->cols = 0;
        dst->is_attached = ae_false;
        dst->ptr.pp_void = NULL;
        dst->stride = 0;
        dst->datatype = datatype;
        ae_db_init(&dst->data, 0, state, make_automatic);
        return;
    }

    /* init, being ready for exception during allocation (rows=cols=ptr=NULL on entry) */
    dst->is_attached = ae_false;
    dst->rows = 0;
    dst->cols = 0;
    dst->ptr.pp_void = NULL;
    dst->stride = cols;
    while( dst->stride*ae_sizeof(datatype)%AE_DATA_ALIGN!=0 )
        dst->stride++;
    dst->datatype = datatype;
    ae_db_init(&dst->data, rows*((ae_int_t)sizeof(void*)+dst->stride*ae_sizeof(datatype))+AE_DATA_ALIGN-1, state, make_automatic);
    dst->rows = rows;
    dst->cols = cols;
    ae_matrix_update_row_pointers(dst, ae_align((char*)dst->data.ptr+rows*sizeof(void*),AE_DATA_ALIGN));
}


/************************************************************************
This function creates copy of ae_matrix. A new copy of the data is created.

dst                 destination matrix, must be zero-filled
src                 well, it is source
state               pointer to current state structure. Can not be NULL.
                    used for exception handling (say, allocation error results
                    in longjmp call).
make_automatic      if true, matrix will be registered in the current frame
                    of the state structure;

dst is assumed to be uninitialized, its fields are ignored.
************************************************************************/
void ae_matrix_init_copy(ae_matrix *dst, ae_matrix *src, ae_state *state, ae_bool make_automatic)
{
    ae_int_t i;
    ae_matrix_init(dst, src->rows, src->cols, src->datatype, state, make_automatic);
    if( src->rows!=0 && src->cols!=0 )
    {
        if( dst->stride==src->stride )
            memmove(dst->ptr.pp_void[0], src->ptr.pp_void[0], (size_t)(src->rows*src->stride*ae_sizeof(src->datatype)));
        else
            for(i=0; i<dst->rows; i++)
                memmove(dst->ptr.pp_void[i], src->ptr.pp_void[i], (size_t)(dst->cols*ae_sizeof(dst->datatype)));
    }
}


/************************************************************************
This function initializes ae_matrix using X-structure as source. New copy
of data is created, which is owned/managed by ae_matrix  structure.  Both
structures (source and destination) remain completely  independent  after
this call.

dst                 destination matrix, must be zero-filled
src                 well, it is source
state               pointer to current state structure. Can not be NULL.
                    used for exception handling (say, allocation error results
                    in longjmp call).
make_automatic      if true, matrix will be registered in the current frame
                    of the state structure;

dst is assumed to be uninitialized, its fields are ignored.
************************************************************************/
void ae_matrix_init_from_x(ae_matrix *dst, x_matrix *src, ae_state *state, ae_bool make_automatic)
{
    char *p_src_row;
    char *p_dst_row;
    ae_int_t row_size;
    ae_int_t i;
    AE_CRITICAL_ASSERT(state!=NULL);
    ae_matrix_init(dst, (ae_int_t)src->rows, (ae_int_t)src->cols, (ae_datatype)src->datatype, state, make_automatic);
    if( src->rows!=0 && src->cols!=0 )
    {
        p_src_row = (char*)src->x_ptr.p_ptr;
        p_dst_row = (char*)(dst->ptr.pp_void[0]);
        row_size = ae_sizeof((ae_datatype)src->datatype)*(ae_int_t)src->cols;
        for(i=0; i<src->rows; i++, p_src_row+=src->stride*ae_sizeof((ae_datatype)src->datatype), p_dst_row+=dst->stride*ae_sizeof((ae_datatype)src->datatype))
            memmove(p_dst_row, p_src_row, (size_t)(row_size));
    }
}


/************************************************************************
This function initializes ae_matrix using X-structure as source.

New matrix is attached to source:
* DST shares memory with SRC
* both DST and SRC are writable - all writes to DST  change  elements  of
  SRC and vice versa.
* DST can be reallocated with ae_matrix_set_length(), in  this  case  SRC
  remains untouched
* SRC, however, CAN NOT BE REALLOCATED AS LONG AS DST EXISTS

dst                 destination matrix, must be zero-filled
src                 well, it is source
state               pointer to current state structure. Can not be NULL.
                    used for exception handling (say, allocation error results
                    in longjmp call).
make_automatic      if true, matrix will be registered in the current frame
                    of the state structure;

dst is assumed to be uninitialized, its fields are ignored.
************************************************************************/
void ae_matrix_init_attach_to_x(ae_matrix *dst, x_matrix *src, ae_state *state, ae_bool make_automatic)
{
    ae_int_t rows, cols;
    
    AE_CRITICAL_ASSERT(state!=NULL);
    AE_CRITICAL_ASSERT(ae_check_zeros(dst,sizeof(*dst)));
    
    rows = (ae_int_t)src->rows;
    cols = (ae_int_t)src->cols;
    
    /* check that X-source is densely packed */
    ae_assert(src->cols==src->stride, "ae_matrix_init_attach_to_x(): unsupported stride", state);
    
    /* ensure that size is correct */
    ae_assert(rows==src->rows,      "ae_matrix_init_attach_to_x(): 32/64 overflow", state);
    ae_assert(cols==src->cols,      "ae_matrix_init_attach_to_x(): 32/64 overflow", state);
    ae_assert(rows>=0 && cols>=0,   "ae_matrix_init_attach_to_x(): negative length", state);
    
    /* if one of rows/cols is zero, another MUST be too */
    if( rows==0 || cols==0 )
    {
        rows = 0;
        cols = 0;
    }

    /* init, being ready for allocation error */
    dst->is_attached = ae_true;
    dst->rows = 0;
    dst->cols = 0;
    dst->stride = cols;
    dst->datatype = (ae_datatype)src->datatype;
    dst->ptr.pp_void = NULL;
    ae_db_init(&dst->data, rows*(ae_int_t)sizeof(void*), state, make_automatic);
    dst->rows = rows;
    dst->cols = cols;
    if( dst->rows>0 && dst->cols>0 )
    {
        ae_int_t i, rowsize;
        char *p_row;
        void **pp_ptr;
        
        p_row = (char*)src->x_ptr.p_ptr;
        rowsize = dst->stride*ae_sizeof(dst->datatype);
        pp_ptr  = (void**)dst->data.ptr;
        dst->ptr.pp_void = pp_ptr;
        for(i=0; i<dst->rows; i++, p_row+=rowsize)
            pp_ptr[i] = p_row;
    }
}


/************************************************************************
This function changes length of ae_matrix.

dst                 destination matrix
rows                size, may be zero
cols                size, may be zero
state               ALGLIB environment state

Error handling:
* if state is NULL, returns ae_false on allocation error
* if state is not NULL, calls ae_break() on allocation error
* returns ae_true on success

NOTES:
* matrix must be initialized
* all contents is destroyed during setlength() call
* new size may be zero.
************************************************************************/
void ae_matrix_set_length(ae_matrix *dst, ae_int_t rows, ae_int_t cols, ae_state *state)
{
    AE_CRITICAL_ASSERT(state!=NULL);
    ae_assert(rows>=0 && cols>=0, "ae_matrix_set_length(): negative length", state);
    if( dst->rows==rows && dst->cols==cols )
        return;
    
    /* prepare stride */
    dst->stride = cols;
    while( dst->stride*ae_sizeof(dst->datatype)%AE_DATA_ALIGN!=0 )
        dst->stride++;
    
    /* realloc, being ready for an exception during reallocation (rows=cols=0 on entry) */
    dst->rows = 0;
    dst->cols = 0;
    dst->ptr.pp_void = NULL;
    ae_db_realloc(&dst->data, rows*((ae_int_t)sizeof(void*)+dst->stride*ae_sizeof(dst->datatype))+AE_DATA_ALIGN-1, state);
    dst->rows = rows;
    dst->cols = cols;
    
    /* update pointers to rows */
    ae_matrix_update_row_pointers(dst, ae_align((char*)dst->data.ptr+dst->rows*sizeof(void*),AE_DATA_ALIGN));
}


/************************************************************************
This  function  provides  "CLEAR"  functionality  for vector (contents is
cleared, but structure still left in valid state).

The  function clears matrix contents (releases all dynamically  allocated
memory). Matrix may be in automatic management list  -  in this  case  it
will NOT be removed from list.

IMPORTANT: this function does NOT invalidates dst; it just  releases  all
dynamically allocated storage, but dst still may be used  after  call  to
ae_matrix_set_length().

dst                 destination matrix
************************************************************************/
void ae_matrix_clear(ae_matrix *dst)
{
    dst->rows = 0;
    dst->cols = 0;
    dst->stride = 0;
    ae_db_free(&dst->data);
    dst->ptr.p_ptr = 0;
    dst->is_attached = ae_false;
}


/************************************************************************
This  function  provides  "DESTROY" functionality for matrix (contents is
cleared, but structure still left in valid state).

For matrices it is same as CLEAR.

dst                 destination matrix
************************************************************************/
void ae_matrix_destroy(ae_matrix *dst)
{
    ae_matrix_clear(dst);
}


/************************************************************************
This function efficiently swaps contents of two vectors, leaving other
pararemeters (automatic management, etc.) unchanged.
************************************************************************/
void ae_swap_matrices(ae_matrix *mat1, ae_matrix *mat2)
{
    ae_int_t rows;
    ae_int_t cols;
    ae_int_t stride;
    ae_datatype datatype;
    void *p_ptr;

    ae_assert(!mat1->is_attached, "ALGLIB: internal error, attempt to swap matrices attached to X-object", NULL);
    ae_assert(!mat2->is_attached, "ALGLIB: internal error, attempt to swap matrices attached to X-object", NULL);
    
    ae_db_swap(&mat1->data, &mat2->data);
    
    rows = mat1->rows;
    cols = mat1->cols;
    stride = mat1->stride;
    datatype = mat1->datatype;
    p_ptr = mat1->ptr.p_ptr;

    mat1->rows = mat2->rows;
    mat1->cols = mat2->cols;
    mat1->stride = mat2->stride;
    mat1->datatype = mat2->datatype;
    mat1->ptr.p_ptr = mat2->ptr.p_ptr;

    mat2->rows = rows;
    mat2->cols = cols;
    mat2->stride = stride;
    mat2->datatype = datatype;
    mat2->ptr.p_ptr = p_ptr;
}


/************************************************************************
This function creates smart pointer structure.

dst                 destination smart pointer, must be zero-filled
subscriber          pointer to pointer which receives updates in the
                    internal object stored in ae_smart_ptr. Any update to
                    dst->ptr is translated to subscriber. Can be NULL.
state               pointer to current state structure. Can not be NULL.
                    used for exception handling (say, allocation error results
                    in longjmp call).
make_automatic      if true, pointer will be registered in the current frame
                    of the state structure;
                      
Error handling:
* on failure calls ae_break() with NULL state pointer. Usually it  results
  in abort() call.

After initialization, smart pointer stores NULL pointer.
************************************************************************/
void ae_smart_ptr_init(ae_smart_ptr *dst, void **subscriber, ae_state *state, ae_bool make_automatic)
{
    AE_CRITICAL_ASSERT(state!=NULL);
    AE_CRITICAL_ASSERT(ae_check_zeros(dst,sizeof(*dst)));
    dst->subscriber = subscriber;
    dst->ptr = NULL;
    if( dst->subscriber!=NULL )
        *(dst->subscriber) = dst->ptr;
    dst->is_owner = ae_false;
    dst->is_dynamic = ae_false;
    dst->frame_entry.deallocator = ae_smart_ptr_destroy;
    dst->frame_entry.ptr = dst;
    if( make_automatic )
        ae_db_attach(&dst->frame_entry, state);
}


/************************************************************************
This function clears smart pointer structure.

dst                 destination smart pointer.

After call to this function smart pointer contains NULL reference,  which
is  propagated  to  its  subscriber  (in  cases  non-NULL  subscruber was
specified during pointer creation).
************************************************************************/
void ae_smart_ptr_clear(void *_dst)
{
    ae_smart_ptr *dst = (ae_smart_ptr*)_dst;
    if( dst->is_owner && dst->ptr!=NULL )
    {
        dst->destroy(dst->ptr);
        if( dst->is_dynamic )
            ae_free(dst->ptr);
    }
    dst->is_owner = ae_false;
    dst->is_dynamic = ae_false;
    dst->ptr = NULL;
    dst->destroy = NULL;
    if( dst->subscriber!=NULL )
        *(dst->subscriber) = NULL;
}


/************************************************************************
This function dstroys smart pointer structure (same as clearing it).

dst                 destination smart pointer.
************************************************************************/
void ae_smart_ptr_destroy(void *_dst)
{
    ae_smart_ptr_clear(_dst);
}


/************************************************************************
This function assigns pointer to ae_smart_ptr structure.

dst                 destination smart pointer.
new_ptr             new pointer to assign
is_owner            whether smart pointer owns new_ptr
is_dynamic          whether object is dynamic - clearing such object
                    requires BOTH calling destructor function AND calling
                    ae_free() for memory occupied by object.
destroy             destructor function

In case smart pointer already contains non-NULL value and owns this value,
it is freed before assigning new pointer.

Changes in pointer are propagated to its  subscriber  (in  case  non-NULL
subscriber was specified during pointer creation).

You can specify NULL new_ptr, in which case is_owner/destroy are ignored.
************************************************************************/
void ae_smart_ptr_assign(ae_smart_ptr *dst, void *new_ptr, ae_bool is_owner, ae_bool is_dynamic, void (*destroy)(void*))
{
    if( dst->is_owner && dst->ptr!=NULL )
    {
        dst->destroy(dst->ptr);
        if( dst->is_dynamic )
            ae_free(dst->ptr);
    }
    if( new_ptr!=NULL )
    {
        dst->ptr = new_ptr;
        dst->is_owner = is_owner;
        dst->is_dynamic = is_dynamic;
        dst->destroy = destroy;
    }
    else
    {
        dst->ptr = NULL;
        dst->is_owner = ae_false;
        dst->is_dynamic = ae_false;
        dst->destroy = NULL;
    }
    if( dst->subscriber!=NULL )
        *(dst->subscriber) = dst->ptr;
}


/************************************************************************
This function releases pointer owned by ae_smart_ptr structure:
* all internal fields are set to NULL
* destructor function for internal pointer is NOT called even when we own
  this pointer. After this call ae_smart_ptr releases  ownership  of  its
  pointer and passes it to caller.
* changes in pointer are propagated to its subscriber (in  case  non-NULL
  subscriber was specified during pointer creation).

dst                 destination smart pointer.
************************************************************************/
void ae_smart_ptr_release(ae_smart_ptr *dst)
{
    dst->is_owner = ae_false;
    dst->is_dynamic = ae_false;
    dst->ptr = NULL;
    dst->destroy = NULL;
    if( dst->subscriber!=NULL )
        *(dst->subscriber) = NULL;
}

/************************************************************************
This function copies contents of ae_vector (SRC) to x_vector (DST).

This function should not be called for  DST  which  is  attached  to  SRC
(opposite situation, when SRC is attached to DST, is possible).

Depending on situation, following actions are performed 
* for SRC attached to DST, this function performs no actions (no need  to
  do anything)
* for independent vectors of different sizes it allocates storage in  DST
  and copy contents of SRC  to  DST.  DST->last_action field  is  set  to
  ACT_NEW_LOCATION, and DST->owner is set to OWN_AE.
* for  independent  vectors   of  same  sizes  it does not perform memory
  (re)allocation.  It  just  copies  SRC  to  already   existing   place.
  DST->last_action   is   set   to    ACT_SAME_LOCATION  (unless  it  was
  ACT_NEW_LOCATION), DST->owner is unmodified.

dst                 destination vector
src                 source, vector in x-format
state               ALGLIB environment state

NOTES:
* dst is assumed to be initialized. Its contents is freed before  copying
  data  from src  (if  size / type  are  different)  or  overwritten  (if
  possible given destination size).
************************************************************************/
void ae_x_set_vector(x_vector *dst, ae_vector *src, ae_state *state)
{
    if( src->ptr.p_ptr == dst->x_ptr.p_ptr )
    {
        /* src->ptr points to the beginning of dst, attached matrices, no need to copy */
        return;
    }
    if( dst->cnt!=src->cnt || dst->datatype!=src->datatype )
    {
        if( dst->owner==OWN_AE )
            ae_free(dst->x_ptr.p_ptr);
        dst->x_ptr.p_ptr = ae_malloc((size_t)(src->cnt*ae_sizeof(src->datatype)), state);
        if( src->cnt!=0 && dst->x_ptr.p_ptr==NULL )
            ae_break(state, ERR_OUT_OF_MEMORY, "ae_malloc(): out of memory");
        dst->last_action = ACT_NEW_LOCATION;
        dst->cnt = src->cnt;
        dst->datatype = src->datatype;
        dst->owner = OWN_AE;
    }
    else
    {
        if( dst->last_action==ACT_UNCHANGED )
            dst->last_action = ACT_SAME_LOCATION;
        else if( dst->last_action==ACT_SAME_LOCATION )
            dst->last_action = ACT_SAME_LOCATION;
        else if( dst->last_action==ACT_NEW_LOCATION )
            dst->last_action = ACT_NEW_LOCATION;
        else
            ae_assert(ae_false, "ALGLIB: internal error in ae_x_set_vector()", state);
    }
    if( src->cnt )
        memmove(dst->x_ptr.p_ptr, src->ptr.p_ptr, (size_t)(src->cnt*ae_sizeof(src->datatype)));
}

/************************************************************************
This function copies contents of ae_matrix to x_matrix.

This function should not be called for  DST  which  is  attached  to  SRC
(opposite situation, when SRC is attached to DST, is possible).

Depending on situation, following actions are performed 
* for SRC attached to DST, this function performs no actions (no need  to
  do anything)
* for independent matrices of different sizes it allocates storage in DST
  and copy contents of SRC  to  DST.  DST->last_action field  is  set  to
  ACT_NEW_LOCATION, and DST->owner is set to OWN_AE.
* for  independent  matrices  of  same  sizes  it does not perform memory
  (re)allocation.  It  just  copies  SRC  to  already   existing   place.
  DST->last_action   is   set   to    ACT_SAME_LOCATION  (unless  it  was
  ACT_NEW_LOCATION), DST->owner is unmodified.

dst                 destination vector
src                 source, matrix in x-format
state               ALGLIB environment state

NOTES:
* dst is assumed to be initialized. Its contents is freed before  copying
  data  from src  (if  size / type  are  different)  or  overwritten  (if
  possible given destination size).
************************************************************************/
void ae_x_set_matrix(x_matrix *dst, ae_matrix *src, ae_state *state)
{
    char *p_src_row;
    char *p_dst_row;
    ae_int_t i;
    ae_int_t row_size;
    if( src->ptr.pp_void!=NULL && src->ptr.pp_void[0] == dst->x_ptr.p_ptr )
    {
        /* src->ptr points to the beginning of dst, attached matrices, no need to copy */
        return;
    }
    if( dst->rows!=src->rows || dst->cols!=src->cols || dst->datatype!=src->datatype )
    {
        if( dst->owner==OWN_AE )
            ae_free(dst->x_ptr.p_ptr);
        dst->rows = src->rows;
        dst->cols = src->cols;
        dst->stride = src->cols;
        dst->datatype = src->datatype;
        dst->x_ptr.p_ptr = ae_malloc((size_t)(dst->rows*((ae_int_t)dst->stride)*ae_sizeof(src->datatype)), state);
        if( dst->rows!=0 && dst->stride!=0 && dst->x_ptr.p_ptr==NULL )
            ae_break(state, ERR_OUT_OF_MEMORY, "ae_malloc(): out of memory");
        dst->last_action = ACT_NEW_LOCATION;
        dst->owner = OWN_AE;
    }
    else
    {
        if( dst->last_action==ACT_UNCHANGED )
            dst->last_action = ACT_SAME_LOCATION;
        else if( dst->last_action==ACT_SAME_LOCATION )
            dst->last_action = ACT_SAME_LOCATION;
        else if( dst->last_action==ACT_NEW_LOCATION )
            dst->last_action = ACT_NEW_LOCATION;
        else
            ae_assert(ae_false, "ALGLIB: internal error in ae_x_set_vector()", state);
    }
    if( src->rows!=0 && src->cols!=0 )
    {
        p_src_row = (char*)(src->ptr.pp_void[0]);
        p_dst_row = (char*)dst->x_ptr.p_ptr;
        row_size = ae_sizeof(src->datatype)*src->cols;
        for(i=0; i<src->rows; i++, p_src_row+=src->stride*ae_sizeof(src->datatype), p_dst_row+=dst->stride*ae_sizeof(src->datatype))
            memmove(p_dst_row, p_src_row, (size_t)(row_size));
    }
}

/************************************************************************
This function attaches x_vector to ae_vector's contents.
Ownership of memory allocated is not changed (it is still managed by
ae_matrix).

dst                 destination vector
src                 source, vector in x-format
state               ALGLIB environment state

NOTES:
* dst is assumed to be initialized. Its contents is freed before
  attaching to src.
* this function doesn't need ae_state parameter because it can't fail
  (assuming correctly initialized src)
************************************************************************/
void ae_x_attach_to_vector(x_vector *dst, ae_vector *src)
{
    if( dst->owner==OWN_AE )
        ae_free(dst->x_ptr.p_ptr);
    dst->x_ptr.p_ptr = src->ptr.p_ptr;
    dst->last_action = ACT_NEW_LOCATION;
    dst->cnt = src->cnt;
    dst->datatype = src->datatype;
    dst->owner = OWN_CALLER;
}

/************************************************************************
This function attaches x_matrix to ae_matrix's contents.
Ownership of memory allocated is not changed (it is still managed by
ae_matrix).

dst                 destination vector
src                 source, matrix in x-format
state               ALGLIB environment state

NOTES:
* dst is assumed to be initialized. Its contents is freed before
  attaching to src.
* this function doesn't need ae_state parameter because it can't fail
  (assuming correctly initialized src)
************************************************************************/
void ae_x_attach_to_matrix(x_matrix *dst, ae_matrix *src)
{
    if( dst->owner==OWN_AE )
            ae_free(dst->x_ptr.p_ptr);
    dst->rows = src->rows;
    dst->cols = src->cols;
    dst->stride = src->stride;
    dst->datatype = src->datatype;
    dst->x_ptr.p_ptr = &(src->ptr.pp_double[0][0]);
    dst->last_action = ACT_NEW_LOCATION;
    dst->owner = OWN_CALLER;
}

/************************************************************************
This function clears x_vector. It does nothing  if vector is not owned by
ALGLIB environment.

dst                 vector
************************************************************************/
void x_vector_clear(x_vector *dst)
{
    if( dst->owner==OWN_AE )
        aligned_free(dst->x_ptr.p_ptr);
    dst->x_ptr.p_ptr = NULL;
    dst->cnt = 0;
}

/************************************************************************
Assertion

For  non-NULL  state  it  allows  to  gracefully  leave  ALGLIB  session,
removing all frames and deallocating registered dynamic data structure.

For NULL state it just abort()'s program.

IMPORTANT: this function ALWAYS evaluates its argument.  It  can  not  be
           replaced by macro which does nothing. So, you may place actual
           function calls at cond, and these will always be performed.
************************************************************************/
void ae_assert(ae_bool cond, const char *msg, ae_state *state)
{
    if( !cond )
        ae_break(state, ERR_ASSERTION_FAILED, msg);
}

/************************************************************************
CPUID

Returns information about features CPU and compiler support.

You must tell ALGLIB what CPU family is used by defining AE_CPU symbol
(without this hint zero will be returned).

Note: results of this function depend on both CPU and compiler;
if compiler doesn't support SSE intrinsics, function won't set 
corresponding flag.
************************************************************************/
static volatile ae_bool _ae_cpuid_initialized = ae_false;
static volatile ae_bool _ae_cpuid_has_sse2 = ae_false;
static volatile ae_bool _ae_cpuid_has_avx2 = ae_false;
static volatile ae_bool _ae_cpuid_has_fma  = ae_false;
ae_int_t ae_cpuid()
{
    /*
     * to speed up CPU detection we cache results from previous attempts
     * there is no synchronization, but it is still thread safe.
     *
     * thread safety is guaranteed on all modern architectures which
     * have following property: simultaneous writes by different cores
     * to the same location will be executed in serial manner.
     *
     */
    ae_int_t result;
    
    /*
     * if not initialized, determine system properties
     */
    if( !_ae_cpuid_initialized )
    {
        /*
         * SSE2
         */
#if defined(AE_CPU)
#if (AE_CPU==AE_INTEL)
#if AE_COMPILER==AE_MSVC
        {
            /* SSE2 support */
            #if defined(_ALGLIB_HAS_SSE2_INTRINSICS)
            int CPUInfo[4];
            __cpuid(CPUInfo, 1);
            if( (CPUInfo[3]&0x04000000)!=0 )
                _ae_cpuid_has_sse2 = ae_true;
            #endif
            
            /* check OS support for XSAVE XGETBV */
           #if defined(_ALGLIB_HAS_AVX2_INTRINSICS)
            __cpuid(CPUInfo, 1);
            if( (CPUInfo[2]&(0x1<<27))!=0 )
                if( (_xgetbv(0)&0x6)==0x6 )
                {
                    /* AVX2 support */
                    #if defined(_ALGLIB_HAS_AVX2_INTRINSICS) && (_MSC_VER>=1600)
                    if( _ae_cpuid_has_sse2 )
                    {
                        __cpuidex(CPUInfo, 7, 0);
                        if( (CPUInfo[1]&(0x1<<5))!=0 )
                            _ae_cpuid_has_avx2 = ae_true;
                    }
                    #endif
                    
                    /* FMA support */
                    #if defined(_ALGLIB_HAS_FMA_INTRINSICS) && (_MSC_VER>=1600)
                    if( _ae_cpuid_has_avx2 )
                    {
                        __cpuid(CPUInfo, 1);
                        if( (CPUInfo[2]&(0x1<<12))!=0 )
                            _ae_cpuid_has_fma = ae_true;
                    }
                    #endif
                }
            #endif
        }
#elif AE_COMPILER==AE_GNUC
        {
            ae_int_t a,b,c,d;
            
            /* SSE2 support */
            #if defined(_ALGLIB_HAS_SSE2_INTRINSICS)
            __asm__ __volatile__ ("cpuid": "=a" (a), "=b" (b), "=c" (c), "=d" (d) : "a" (1));
            if( (d&0x04000000)!=0 )
                _ae_cpuid_has_sse2 = ae_true;
            #endif
            
            /* check OS support for XSAVE XGETBV */
           #if defined(_ALGLIB_HAS_AVX2_INTRINSICS)
            __asm__ __volatile__ ("cpuid": "=a" (a), "=b" (b), "=c" (c), "=d" (d) : "a" (1));
            if( (c&(0x1<<27))!=0 )
            {
                __asm__ volatile ("xgetbv" : "=a" (a), "=d" (d) : "c" (0));
                if( (a&0x6)==0x6 )
                {
                    /* AVX2 support */
                    #if defined(_ALGLIB_HAS_AVX2_INTRINSICS)
                    if( _ae_cpuid_has_sse2 )
                    {
                        __asm__ __volatile__ ("cpuid": "=a" (a), "=b" (b), "=c" (c), "=d" (d) : "a" (7), "c" (0) );
                        if( (b&(0x1<<5))!=0 )
                            _ae_cpuid_has_avx2 = ae_true;
                    }
                    #endif
                    
                    /* FMA support */
                    #if defined(_ALGLIB_HAS_FMA_INTRINSICS)
                    if( _ae_cpuid_has_avx2 )
                    {
                        __asm__ __volatile__ ("cpuid": "=a" (a), "=b" (b), "=c" (c), "=d" (d) : "a" (1) );
                        if( (c&(0x1<<12))!=0 )
                            _ae_cpuid_has_fma = ae_true;
                    }
                    #endif
                }
            }
           #endif
        }
#elif AE_COMPILER==AE_SUNC
        {
            ae_int_t a,b,c,d;
            __asm__ __volatile__ ("cpuid": "=a" (a), "=b" (b), "=c" (c), "=d" (d) : "a" (1));
            if( (d&0x04000000)!=0 )
                _ae_cpuid_has_sse2 = ae_true;
        }
#else
#endif
#endif
#endif
        /*
         * Perform one more CPUID call to generate memory fence
         */
#if AE_CPU==AE_INTEL
#if AE_COMPILER==AE_MSVC
        { int CPUInfo[4]; __cpuid(CPUInfo, 1); }
#elif AE_COMPILER==AE_GNUC
        { ae_int_t a,b,c,d; __asm__ __volatile__ ("cpuid": "=a" (a), "=b" (b), "=c" (c), "=d" (d) : "a" (1)); }
#elif AE_COMPILER==AE_SUNC
        { ae_int_t a,b,c,d; __asm__ __volatile__ ("cpuid": "=a" (a), "=b" (b), "=c" (c), "=d" (d) : "a" (1)); }
#else
#endif
#endif
        
        /*
         * set initialization flag
         */
        _ae_cpuid_initialized = ae_true;
    }
    
    /*
     * return
     */
    result = 0;
    if( _ae_cpuid_has_sse2 )
        result = result|CPU_SSE2;
    if( _ae_cpuid_has_avx2 )
        result = result|CPU_AVX2;
    if( _ae_cpuid_has_fma )
        result = result|CPU_FMA;
    return result;
}

/************************************************************************
Activates tracing to file

IMPORTANT: this function is NOT thread-safe!  Calling  it  from  multiple
           threads will result in undefined  behavior.  Calling  it  when
           some thread calls ALGLIB functions  may  result  in  undefined
           behavior.
************************************************************************/
void ae_trace_file(const char *tags, const char *filename)
{
    /*
     * clean up previous call
     */
    if( alglib_fclose_trace )
    {
        if( alglib_trace_file!=NULL )
            fclose(alglib_trace_file);
        alglib_trace_file = NULL;
        alglib_fclose_trace = ae_false;
    }
    
    /*
     * store ",tags," to buffer. Leading and trailing commas allow us
     * to perform checks for various tags by simply calling strstr().
     */
    memset(alglib_trace_tags, 0, ALGLIB_TRACE_BUFFER_LEN);
    strcat(alglib_trace_tags, ",");
    strncat(alglib_trace_tags, tags, ALGLIB_TRACE_TAGS_LEN);
    strcat(alglib_trace_tags, ",");
    for(int i=0; alglib_trace_tags[i]!=0; i++)
        alglib_trace_tags[i] = (char)tolower(alglib_trace_tags[i]);
    
    /*
     * set up trace
     */
    alglib_trace_type = ALGLIB_TRACE_FILE;
    alglib_trace_file = fopen(filename, "ab");
    alglib_fclose_trace = ae_true;
}

/************************************************************************
Disables tracing
************************************************************************/
void ae_trace_disable()
{
    alglib_trace_type = ALGLIB_TRACE_NONE;
    if( alglib_fclose_trace )
        fclose(alglib_trace_file);
    alglib_trace_file = NULL;
    alglib_fclose_trace = ae_false;
}

/************************************************************************
Checks whether specific kind of tracing is enabled
************************************************************************/
ae_bool ae_is_trace_enabled(const char *tag)
{
    char buf[ALGLIB_TRACE_BUFFER_LEN];
    
    /* check global trace status */
    if( alglib_trace_type==ALGLIB_TRACE_NONE || alglib_trace_file==NULL )
        return ae_false;
    
    /* copy tag to buffer, lowercase it */
    memset(buf, 0, ALGLIB_TRACE_BUFFER_LEN);
    strcat(buf, ",");
    strncat(buf, tag, ALGLIB_TRACE_TAGS_LEN);
    strcat(buf, "?");
    for(int i=0; buf[i]!=0; i++)
        buf[i] = (char)tolower(buf[i]);
            
    /* contains tag (followed by comma, which means exact match) */
    buf[strlen(buf)-1] = ',';
    if( strstr(alglib_trace_tags,buf)!=NULL )
        return ae_true;
            
    /* contains tag (followed by dot, which means match with child) */
    buf[strlen(buf)-1] = '.';
    if( strstr(alglib_trace_tags,buf)!=NULL )
        return ae_true;
            
    /* nothing */
    return ae_false;
}

void ae_trace(const char * printf_fmt, ...)
{   
    /* check global trace status */
    if( alglib_trace_type==ALGLIB_TRACE_FILE && alglib_trace_file!=NULL )
    {
        va_list args;
    
        /* fprintf() */
        va_start(args, printf_fmt);
        vfprintf(alglib_trace_file, printf_fmt, args);
        va_end(args);
        
        /* flush output */
        fflush(alglib_trace_file);
    }
}

int ae_tickcount()
{
#if AE_OS==AE_WINDOWS || defined(AE_DEBUG4WINDOWS)
    return (int)GetTickCount();
#elif AE_OS==AE_POSIX || defined(AE_DEBUG4POSIX)
    struct timeval now;
    ae_int64_t r, v;
    gettimeofday(&now, NULL);
    v = now.tv_sec;
    r = v*1000;
    v = now.tv_usec/1000;
    r = r+v;
    return r;
    /*struct timespec now;
    if (clock_gettime(CLOCK_MONOTONIC, &now) )
        return 0;
    return now.tv_sec * 1000.0 + now.tv_nsec / 1000000.0;*/
#else
    return 0;
#endif
}


/************************************************************************
Real math functions
************************************************************************/
ae_bool ae_fp_eq(double v1, double v2)
{
    /* IEEE-strict floating point comparison */
    volatile double x = v1;
    volatile double y = v2;
    return x==y;
}

ae_bool ae_fp_neq(double v1, double v2)
{
    /* IEEE-strict floating point comparison */
    return !ae_fp_eq(v1,v2);
}

ae_bool ae_fp_less(double v1, double v2)
{
    /* IEEE-strict floating point comparison */
    volatile double x = v1;
    volatile double y = v2;
    return x<y;
}

ae_bool ae_fp_less_eq(double v1, double v2)
{
    /* IEEE-strict floating point comparison */
    volatile double x = v1;
    volatile double y = v2;
    return x<=y;
}

ae_bool ae_fp_greater(double v1, double v2)
{
    /* IEEE-strict floating point comparison */
    volatile double x = v1;
    volatile double y = v2;
    return x>y;
}

ae_bool ae_fp_greater_eq(double v1, double v2)
{
    /* IEEE-strict floating point comparison */
    volatile double x = v1;
    volatile double y = v2;
    return x>=y;
}

ae_bool ae_isfinite_stateless(double x, ae_int_t endianness)
{
    union _u
    {
        double a;
        ae_int32_t p[2];
    } u;
    ae_int32_t high;
    u.a = x;
    if( endianness==AE_LITTLE_ENDIAN )
        high = u.p[1];
    else
        high = u.p[0];
    return (high & (ae_int32_t)0x7FF00000)!=(ae_int32_t)0x7FF00000;
}

ae_bool ae_isnan_stateless(double x,    ae_int_t endianness)
{
    union _u
    {
        double a;
        ae_int32_t p[2];
    } u;
    ae_int32_t high, low;
    u.a = x;
    if( endianness==AE_LITTLE_ENDIAN )
    {
        high = u.p[1];
        low =  u.p[0];
    }
    else
    {
        high = u.p[0];
        low =  u.p[1];
    }
    return ((high &0x7FF00000)==0x7FF00000) && (((high &0x000FFFFF)!=0) || (low!=0));
}

ae_bool ae_isinf_stateless(double x,    ae_int_t endianness)
{
    union _u
    {
        double a;
        ae_int32_t p[2];
    } u;
    ae_int32_t high, low;
    u.a = x;
    if( endianness==AE_LITTLE_ENDIAN )
    {
        high = u.p[1];
        low  = u.p[0];
    }
    else
    {
        high = u.p[0];
        low  = u.p[1];
    }
    
    /* 31 least significant bits of high are compared */
    return ((high&0x7FFFFFFF)==0x7FF00000) && (low==0); 
}

ae_bool ae_isposinf_stateless(double x, ae_int_t endianness)
{
    union _u
    {
        double a;
        ae_int32_t p[2];
    } u;
    ae_int32_t high, low;
    u.a = x;
    if( endianness==AE_LITTLE_ENDIAN )
    {
        high = u.p[1];
        low  = u.p[0];
    }
    else
    {
        high = u.p[0];
        low  = u.p[1];
    }
    
    /* all 32 bits of high are compared */
    return (high==(ae_int32_t)0x7FF00000) && (low==0); 
}

ae_bool ae_isneginf_stateless(double x, ae_int_t endianness)
{
    union _u
    {
        double a;
        ae_int32_t p[2];
    } u;
    ae_int32_t high, low;
    u.a = x;
    if( endianness==AE_LITTLE_ENDIAN )
    {
        high = u.p[1];
        low  = u.p[0];
    }
    else
    {
        high = u.p[0];
        low  = u.p[1];
    }
    
    /* this code is a bit tricky to avoid comparison of high with 0xFFF00000, which may be unsafe with some buggy compilers */
    return ((high&0x7FFFFFFF)==0x7FF00000) && (high!=(ae_int32_t)0x7FF00000) && (low==0);
}

ae_int_t ae_get_endianness()
{
    union
    {
        double a;
        ae_int32_t p[2];
    } u;
    
    /*
     * determine endianness
     * two types are supported: big-endian and little-endian.
     * mixed-endian hardware is NOT supported.
     *
     * 1983 is used as magic number because its non-periodic double 
     * representation allow us to easily distinguish between upper 
     * and lower halfs and to detect mixed endian hardware.
     *
     */
    u.a = 1.0/1983.0; 
    if( u.p[1]==(ae_int32_t)0x3f408642 )
        return AE_LITTLE_ENDIAN;
    if( u.p[0]==(ae_int32_t)0x3f408642 )
        return AE_BIG_ENDIAN;
    return AE_MIXED_ENDIAN;
}

ae_bool ae_isfinite(double x,ae_state *state)
{
    return ae_isfinite_stateless(x, state->endianness);
}

ae_bool ae_isnan(double x,   ae_state *state)
{
    return ae_isnan_stateless(x, state->endianness);
}

ae_bool ae_isinf(double x,   ae_state *state)
{
    return ae_isinf_stateless(x, state->endianness);
}

ae_bool ae_isposinf(double x,ae_state *state)
{
    return ae_isposinf_stateless(x, state->endianness);
}

ae_bool ae_isneginf(double x,ae_state *state)
{
    return ae_isneginf_stateless(x, state->endianness);
}

double ae_fabs(double x,  ae_state *state)
{
    return fabs(x);
}

ae_int_t ae_iabs(ae_int_t x, ae_state *state)
{
    return x>=0 ? x : -x;
}

double ae_sqr(double x,  ae_state *state)
{
    return x*x;
}

double ae_sqrt(double x, ae_state *state)
{
    return sqrt(x);
}

ae_int_t ae_sign(double x, ae_state *state)
{
    if( x>0 ) return  1;
    if( x<0 ) return -1;
    return 0;
}

ae_int_t ae_round(double x, ae_state *state)
{
    return (ae_int_t)(ae_ifloor(x+0.5,state));
}

ae_int_t ae_trunc(double x, ae_state *state)
{
    return (ae_int_t)(x>0 ? ae_ifloor(x,state) : ae_iceil(x,state));
}

ae_int_t ae_ifloor(double x, ae_state *state)
{
    return (ae_int_t)(floor(x));
}

ae_int_t ae_iceil(double x,  ae_state *state)
{
    return (ae_int_t)(ceil(x));
}

ae_int_t ae_maxint(ae_int_t m1, ae_int_t m2, ae_state *state)
{
    return m1>m2 ? m1 : m2;
}

ae_int_t ae_minint(ae_int_t m1, ae_int_t m2, ae_state *state)
{
    return m1>m2 ? m2 : m1;
}

double ae_maxreal(double m1, double m2, ae_state *state)
{
    return m1>m2 ? m1 : m2;
}

double ae_minreal(double m1, double m2, ae_state *state)
{
    return m1>m2 ? m2 : m1;
}

double ae_randomreal(ae_state *state)
{
    int i1 = rand();
    int i2 = rand();
    double mx = (double)(RAND_MAX)+1.0;
    volatile double tmp0 = i2/mx;
    volatile double tmp1 = i1+tmp0;
    return tmp1/mx;
}

ae_int_t ae_randominteger(ae_int_t maxv, ae_state *state)
{
    return rand()%maxv;
}

double   ae_sin(double x, ae_state *state)
{
    return sin(x);
}

double   ae_cos(double x, ae_state *state)
{
    return cos(x);
}

double   ae_tan(double x, ae_state *state)
{
    return tan(x);
}

double   ae_sinh(double x, ae_state *state)
{
    return sinh(x);
}

double   ae_cosh(double x, ae_state *state)
{
    return cosh(x);
}
double   ae_tanh(double x, ae_state *state)
{
    return tanh(x);
}

double   ae_asin(double x, ae_state *state)
{
    return asin(x);
}

double   ae_acos(double x, ae_state *state)
{
    return acos(x);
}

double   ae_atan(double x, ae_state *state)
{
    return atan(x);
}

double   ae_atan2(double y, double x, ae_state *state)
{
    return atan2(y,x);
}

double   ae_log(double x, ae_state *state)
{
    return log(x);
}

double   ae_pow(double x, double y, ae_state *state)
{
    return pow(x,y);
}

double   ae_exp(double x, ae_state *state)
{
    return exp(x);
}

/************************************************************************
Symmetric/Hermitian properties: check and force
************************************************************************/
static void x_split_length(ae_int_t n, ae_int_t nb, ae_int_t* n1, ae_int_t* n2)
{
    ae_int_t r;
    if( n<=nb )
    {
        *n1 = n;
        *n2 = 0;
    }
    else
    {
        if( n%nb!=0 )
        {
            *n2 = n%nb;
            *n1 = n-(*n2);
        }
        else
        {
            *n2 = n/2;
            *n1 = n-(*n2);
            if( *n1%nb==0 )
            {
                return;
            }
            r = nb-*n1%nb;
            *n1 = *n1+r;
            *n2 = *n2-r;
        }
    }
}
static double x_safepythag2(double x, double y)
{
    double w;
    double xabs;
    double yabs;
    double z;
    xabs = fabs(x);
    yabs = fabs(y);
    w = xabs>yabs ? xabs : yabs;
    z = xabs<yabs ? xabs : yabs;
    if( z==0 )
        return w;
    else
    {
        double t;
        t = z/w;
        return w*sqrt(1+t*t);
    }
}
/*
 * this function checks difference between offdiagonal blocks BL and BU
 * (see below). Block BL is specified by offsets (offset0,offset1)  and
 * sizes (len0,len1).
 *
 *     [ .          ]
 *     [   A0  BU   ]
 * A = [   BL  A1   ]
 *     [          . ]
 *
 *  this subroutine updates current values of:
 *  a) mx       maximum value of A[i,j] found so far
 *  b) err      componentwise difference between elements of BL and BU^T
 *
 */
static void is_symmetric_rec_off_stat(x_matrix *a, ae_int_t offset0, ae_int_t offset1, ae_int_t len0, ae_int_t len1, ae_bool *nonfinite, double *mx, double *err, ae_state *_state)
{
    /* try to split problem into two smaller ones */
    if( len0>x_nb || len1>x_nb )
    {
        ae_int_t n1, n2;
        if( len0>len1 )
        {
            x_split_length(len0, x_nb, &n1, &n2);
            is_symmetric_rec_off_stat(a, offset0,    offset1, n1, len1, nonfinite, mx, err, _state);
            is_symmetric_rec_off_stat(a, offset0+n1, offset1, n2, len1, nonfinite, mx, err, _state);
        }
        else
        {
            x_split_length(len1, x_nb, &n1, &n2);
            is_symmetric_rec_off_stat(a, offset0, offset1,    len0, n1, nonfinite, mx, err, _state);
            is_symmetric_rec_off_stat(a, offset0, offset1+n1, len0, n2, nonfinite, mx, err, _state);
        }
        return;
    }
    else
    {
        /* base case */
        double *p1, *p2, *prow, *pcol;
        double v;
        ae_int_t i, j;

        p1 = (double*)(a->x_ptr.p_ptr)+offset0*a->stride+offset1;
        p2 = (double*)(a->x_ptr.p_ptr)+offset1*a->stride+offset0;
        for(i=0; i<len0; i++)
        {
            pcol = p2+i;
            prow = p1+i*a->stride;
            for(j=0; j<len1; j++)
            {
                if( !ae_isfinite(*pcol,_state) || !ae_isfinite(*prow,_state) )
                {
                    *nonfinite = ae_true;
                }
                else
                {
                    v = fabs(*pcol);
                    *mx =  *mx>v ? *mx : v;
                    v = fabs(*prow);
                    *mx =  *mx>v ? *mx : v;
                    v = fabs(*pcol-*prow);
                    *err = *err>v ? *err : v;
                }                
                pcol += a->stride;
                prow++;
            }
        }
    }
}
/*
 * this function checks that diagonal block A0 is symmetric.
 * Block A0 is specified by its offset and size.
 *
 *     [ .          ]
 *     [   A0       ]
 * A = [       .    ]
 *     [          . ]
 *
 *  this subroutine updates current values of:
 *  a) mx       maximum value of A[i,j] found so far
 *  b) err      componentwise difference between A0 and A0^T
 *
 */
static void is_symmetric_rec_diag_stat(x_matrix *a, ae_int_t offset, ae_int_t len, ae_bool *nonfinite, double *mx, double *err, ae_state *_state)
{
    double *p, *prow, *pcol;
    double v;
    ae_int_t i, j;
    
    /* try to split problem into two smaller ones */
    if( len>x_nb )
    {
        ae_int_t n1, n2;
        x_split_length(len, x_nb, &n1, &n2);
        is_symmetric_rec_diag_stat(a, offset, n1, nonfinite, mx, err, _state);
        is_symmetric_rec_diag_stat(a, offset+n1, n2, nonfinite, mx, err, _state);
        is_symmetric_rec_off_stat(a, offset+n1, offset, n2, n1, nonfinite, mx, err, _state);
        return;
    }
    
    /* base case */
    p = (double*)(a->x_ptr.p_ptr)+offset*a->stride+offset;
    for(i=0; i<len; i++)
    {
        pcol = p+i;
        prow = p+i*a->stride;
        for(j=0; j<i; j++,pcol+=a->stride,prow++)
        {
            if( !ae_isfinite(*pcol,_state) || !ae_isfinite(*prow,_state) )
            {
                *nonfinite = ae_true;
            }
            else
            {
                v = fabs(*pcol);
                *mx =  *mx>v ? *mx : v;
                v = fabs(*prow);
                *mx =  *mx>v ? *mx : v;
                v = fabs(*pcol-*prow);
                *err = *err>v ? *err : v;
            }
        }
        v = fabs(p[i+i*a->stride]);
        *mx =  *mx>v ? *mx : v;
    }
}
/*
 * this function checks difference between offdiagonal blocks BL and BU
 * (see below). Block BL is specified by offsets (offset0,offset1)  and
 * sizes (len0,len1).
 *
 *     [ .          ]
 *     [   A0  BU   ]
 * A = [   BL  A1   ]
 *     [          . ]
 *
 *  this subroutine updates current values of:
 *  a) mx       maximum value of A[i,j] found so far
 *  b) err      componentwise difference between elements of BL and BU^H
 *
 */
static void is_hermitian_rec_off_stat(x_matrix *a, ae_int_t offset0, ae_int_t offset1, ae_int_t len0, ae_int_t len1, ae_bool *nonfinite, double *mx, double *err, ae_state *_state)
{
    /* try to split problem into two smaller ones */
    if( len0>x_nb || len1>x_nb )
    {
        ae_int_t n1, n2;
        if( len0>len1 )
        {
            x_split_length(len0, x_nb, &n1, &n2);
            is_hermitian_rec_off_stat(a, offset0,    offset1, n1, len1, nonfinite, mx, err, _state);
            is_hermitian_rec_off_stat(a, offset0+n1, offset1, n2, len1, nonfinite, mx, err, _state);
        }
        else
        {
            x_split_length(len1, x_nb, &n1, &n2);
            is_hermitian_rec_off_stat(a, offset0, offset1,    len0, n1, nonfinite, mx, err, _state);
            is_hermitian_rec_off_stat(a, offset0, offset1+n1, len0, n2, nonfinite, mx, err, _state);
        }
        return;
    }
    else
    {
        /* base case */
        ae_complex *p1, *p2, *prow, *pcol;
        double v;
        ae_int_t i, j;

        p1 = (ae_complex*)(a->x_ptr.p_ptr)+offset0*a->stride+offset1;
        p2 = (ae_complex*)(a->x_ptr.p_ptr)+offset1*a->stride+offset0;
        for(i=0; i<len0; i++)
        {
            pcol = p2+i;
            prow = p1+i*a->stride;
            for(j=0; j<len1; j++)
            {
                if( !ae_isfinite(pcol->x, _state) || !ae_isfinite(pcol->y, _state) || !ae_isfinite(prow->x, _state) || !ae_isfinite(prow->y, _state) )
                {
                    *nonfinite = ae_true;
                }
                else
                {
                    v = x_safepythag2(pcol->x, pcol->y);
                    *mx =  *mx>v ? *mx : v;
                    v = x_safepythag2(prow->x, prow->y);
                    *mx =  *mx>v ? *mx : v;
                    v = x_safepythag2(pcol->x-prow->x, pcol->y+prow->y);
                    *err = *err>v ? *err : v;
                }
                pcol += a->stride;
                prow++;
            }
        }
    }
}
/*
 * this function checks that diagonal block A0 is Hermitian.
 * Block A0 is specified by its offset and size.
 *
 *     [ .          ]
 *     [   A0       ]
 * A = [       .    ]
 *     [          . ]
 *
 *  this subroutine updates current values of:
 *  a) mx       maximum value of A[i,j] found so far
 *  b) err      componentwise difference between A0 and A0^H
 *
 */
static void is_hermitian_rec_diag_stat(x_matrix *a, ae_int_t offset, ae_int_t len, ae_bool *nonfinite, double *mx, double *err, ae_state *_state)
{
    ae_complex *p, *prow, *pcol;
    double v;
    ae_int_t i, j;
    
    /* try to split problem into two smaller ones */
    if( len>x_nb )
    {
        ae_int_t n1, n2;
        x_split_length(len, x_nb, &n1, &n2);
        is_hermitian_rec_diag_stat(a, offset, n1, nonfinite, mx, err, _state);
        is_hermitian_rec_diag_stat(a, offset+n1, n2, nonfinite, mx, err, _state);
        is_hermitian_rec_off_stat(a, offset+n1, offset, n2, n1, nonfinite, mx, err, _state);
        return;
    }
    
    /* base case */
    p = (ae_complex*)(a->x_ptr.p_ptr)+offset*a->stride+offset;
    for(i=0; i<len; i++)
    {
        pcol = p+i;
        prow = p+i*a->stride;
        for(j=0; j<i; j++,pcol+=a->stride,prow++)
        {
            if( !ae_isfinite(pcol->x, _state) || !ae_isfinite(pcol->y, _state) || !ae_isfinite(prow->x, _state) || !ae_isfinite(prow->y, _state) )
            {
                *nonfinite = ae_true;
            }
            else
            {
                v = x_safepythag2(pcol->x, pcol->y);
                *mx =  *mx>v ? *mx : v;
                v = x_safepythag2(prow->x, prow->y);
                *mx =  *mx>v ? *mx : v;
                v = x_safepythag2(pcol->x-prow->x, pcol->y+prow->y);
                *err = *err>v ? *err : v;
            }
        }
        if( !ae_isfinite(p[i+i*a->stride].x, _state) || !ae_isfinite(p[i+i*a->stride].y, _state) )
        {
            *nonfinite = ae_true;
        }
        else
        {
            v = fabs(p[i+i*a->stride].x);
            *mx =  *mx>v ? *mx : v;
            v = fabs(p[i+i*a->stride].y);
            *err =  *err>v ? *err : v;
        }
    }
}
/*
 * this function copies offdiagonal block BL to its symmetric counterpart
 * BU (see below). Block BL is specified by offsets (offset0,offset1)
 * and sizes (len0,len1).
 *
 *     [ .          ]
 *     [   A0  BU   ]
 * A = [   BL  A1   ]
 *     [          . ]
 *
 */
static void force_symmetric_rec_off_stat(x_matrix *a, ae_int_t offset0, ae_int_t offset1, ae_int_t len0, ae_int_t len1)
{
    /* try to split problem into two smaller ones */
    if( len0>x_nb || len1>x_nb )
    {
        ae_int_t n1, n2;
        if( len0>len1 )
        {
            x_split_length(len0, x_nb, &n1, &n2);
            force_symmetric_rec_off_stat(a, offset0,    offset1, n1, len1);
            force_symmetric_rec_off_stat(a, offset0+n1, offset1, n2, len1);
        }
        else
        {
            x_split_length(len1, x_nb, &n1, &n2);
            force_symmetric_rec_off_stat(a, offset0, offset1,    len0, n1);
            force_symmetric_rec_off_stat(a, offset0, offset1+n1, len0, n2);
        }
        return;
    }
    else
    {
        /* base case */
        double *p1, *p2, *prow, *pcol;
        ae_int_t i, j;

        p1 = (double*)(a->x_ptr.p_ptr)+offset0*a->stride+offset1;
        p2 = (double*)(a->x_ptr.p_ptr)+offset1*a->stride+offset0;
        for(i=0; i<len0; i++)
        {
            pcol = p2+i;
            prow = p1+i*a->stride;
            for(j=0; j<len1; j++)
            {
                *pcol = *prow;
                pcol += a->stride;
                prow++;
            }
        }
    }
}
/*
 * this function copies lower part of diagonal block A0 to its upper part
 * Block is specified by offset and size.
 *
 *     [ .          ]
 *     [   A0       ]
 * A = [       .    ]
 *     [          . ]
 *
 */
static void force_symmetric_rec_diag_stat(x_matrix *a, ae_int_t offset, ae_int_t len)
{
    double *p, *prow, *pcol;
    ae_int_t i, j;
    
    /* try to split problem into two smaller ones */
    if( len>x_nb )
    {
        ae_int_t n1, n2;
        x_split_length(len, x_nb, &n1, &n2);
        force_symmetric_rec_diag_stat(a, offset, n1);
        force_symmetric_rec_diag_stat(a, offset+n1, n2);
        force_symmetric_rec_off_stat(a, offset+n1, offset, n2, n1);
        return;
    }
    
    /* base case */
    p = (double*)(a->x_ptr.p_ptr)+offset*a->stride+offset;
    for(i=0; i<len; i++)
    {
        pcol = p+i;
        prow = p+i*a->stride;
        for(j=0; j<i; j++,pcol+=a->stride,prow++)
            *pcol = *prow;
    }
}
/*
 * this function copies Hermitian transpose of offdiagonal block BL to
 * its symmetric counterpart BU (see below). Block BL is specified by
 * offsets (offset0,offset1) and sizes (len0,len1).
 *
 *     [ .          ]
 *     [   A0  BU   ]
 * A = [   BL  A1   ]
 *     [          . ]
 */
static void force_hermitian_rec_off_stat(x_matrix *a, ae_int_t offset0, ae_int_t offset1, ae_int_t len0, ae_int_t len1)
{
    /* try to split problem into two smaller ones */
    if( len0>x_nb || len1>x_nb )
    {
        ae_int_t n1, n2;
        if( len0>len1 )
        {
            x_split_length(len0, x_nb, &n1, &n2);
            force_hermitian_rec_off_stat(a, offset0,    offset1, n1, len1);
            force_hermitian_rec_off_stat(a, offset0+n1, offset1, n2, len1);
        }
        else
        {
            x_split_length(len1, x_nb, &n1, &n2);
            force_hermitian_rec_off_stat(a, offset0, offset1,    len0, n1);
            force_hermitian_rec_off_stat(a, offset0, offset1+n1, len0, n2);
        }
        return;
    }
    else
    {
        /* base case */
        ae_complex *p1, *p2, *prow, *pcol;
        ae_int_t i, j;

        p1 = (ae_complex*)(a->x_ptr.p_ptr)+offset0*a->stride+offset1;
        p2 = (ae_complex*)(a->x_ptr.p_ptr)+offset1*a->stride+offset0;
        for(i=0; i<len0; i++)
        {
            pcol = p2+i;
            prow = p1+i*a->stride;
            for(j=0; j<len1; j++)
            {
                *pcol = *prow;
                pcol += a->stride;
                prow++;
            }
        }
    }
}
/*
 * this function copies Hermitian transpose of lower part of
 * diagonal block A0 to its upper part Block is specified by offset and size.
 *
 *     [ .          ]
 *     [   A0       ]
 * A = [       .    ]
 *     [          . ]
 *
 */
static void force_hermitian_rec_diag_stat(x_matrix *a, ae_int_t offset, ae_int_t len)
{
    ae_complex *p, *prow, *pcol;
    ae_int_t i, j;
    
    /* try to split problem into two smaller ones */
    if( len>x_nb )
    {
        ae_int_t n1, n2;
        x_split_length(len, x_nb, &n1, &n2);
        force_hermitian_rec_diag_stat(a, offset, n1);
        force_hermitian_rec_diag_stat(a, offset+n1, n2);
        force_hermitian_rec_off_stat(a, offset+n1, offset, n2, n1);
        return;
    }
    
    /* base case */
    p = (ae_complex*)(a->x_ptr.p_ptr)+offset*a->stride+offset;
    for(i=0; i<len; i++)
    {
        pcol = p+i;
        prow = p+i*a->stride;
        for(j=0; j<i; j++,pcol+=a->stride,prow++)
            *pcol = *prow;
    }
}
ae_bool x_is_symmetric(x_matrix *a)
{
    double mx, err;
    ae_bool nonfinite;
    ae_state _alglib_env_state;
    if( a->datatype!=DT_REAL )
        return ae_false;
    if( a->cols!=a->rows )
        return ae_false;
    if( a->cols==0 || a->rows==0 )
        return ae_true;
    ae_state_init(&_alglib_env_state);
    mx = 0;
    err = 0;
    nonfinite = ae_false;
    is_symmetric_rec_diag_stat(a, 0, (ae_int_t)a->rows, &nonfinite, &mx, &err, &_alglib_env_state);
    if( nonfinite )
        return ae_false;
    if( mx==0 )
        return ae_true;
    return err/mx<=1.0E-14;
}
ae_bool x_is_hermitian(x_matrix *a)
{
    double mx, err;
    ae_bool nonfinite;
    ae_state _alglib_env_state;
    if( a->datatype!=DT_COMPLEX )
        return ae_false;
    if( a->cols!=a->rows )
        return ae_false;
    if( a->cols==0 || a->rows==0 )
        return ae_true;
    ae_state_init(&_alglib_env_state);
    mx = 0;
    err = 0;
    nonfinite = ae_false;
    is_hermitian_rec_diag_stat(a, 0, (ae_int_t)a->rows, &nonfinite, &mx, &err, &_alglib_env_state);
    if( nonfinite )
        return ae_false;
    if( mx==0 )
        return ae_true;
    return err/mx<=1.0E-14;
}
ae_bool x_force_symmetric(x_matrix *a)
{
    if( a->datatype!=DT_REAL )
        return ae_false;
    if( a->cols!=a->rows )
        return ae_false;
    if( a->cols==0 || a->rows==0 )
        return ae_true;
    force_symmetric_rec_diag_stat(a, 0, (ae_int_t)a->rows);
    return ae_true;
}
ae_bool x_force_hermitian(x_matrix *a)
{
    if( a->datatype!=DT_COMPLEX )
        return ae_false;
    if( a->cols!=a->rows )
        return ae_false;
    if( a->cols==0 || a->rows==0 )
        return ae_true;
    force_hermitian_rec_diag_stat(a, 0, (ae_int_t)a->rows);
    return ae_true;
}

ae_bool ae_is_symmetric(ae_matrix *a)
{
    x_matrix x;
    x.owner = OWN_CALLER;
    ae_x_attach_to_matrix(&x, a);
    return x_is_symmetric(&x);
}

ae_bool ae_is_hermitian(ae_matrix *a)
{
    x_matrix x;
    x.owner = OWN_CALLER;
    ae_x_attach_to_matrix(&x, a);
    return x_is_hermitian(&x);
}

ae_bool ae_force_symmetric(ae_matrix *a)
{
    x_matrix x;
    x.owner = OWN_CALLER;
    ae_x_attach_to_matrix(&x, a);
    return x_force_symmetric(&x);
}

ae_bool ae_force_hermitian(ae_matrix *a)
{
    x_matrix x;
    x.owner = OWN_CALLER;
    ae_x_attach_to_matrix(&x, a);
    return x_force_hermitian(&x);
}

/************************************************************************
This function converts six-bit value (from 0 to 63)  to  character  (only
digits, lowercase and uppercase letters, minus and underscore are used).

If v is negative or greater than 63, this function returns '?'.
************************************************************************/
static char _sixbits2char_tbl[64] = { 
        '0', '1', '2', '3', '4', '5', '6', '7',
        '8', '9', 'A', 'B', 'C', 'D', 'E', 'F',
        'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N',
        'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V',
        'W', 'X', 'Y', 'Z', 'a', 'b', 'c', 'd', 
        'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 
        'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 
        'u', 'v', 'w', 'x', 'y', 'z', '-', '_' };

char ae_sixbits2char(ae_int_t v)
{
    
    if( v<0 || v>63 )
        return '?';
    return _sixbits2char_tbl[v]; 
    
    /* v is correct, process it */
    /*if( v<10 )
        return '0'+v;
    v -= 10;
    if( v<26 )
        return 'A'+v;
    v -= 26;
    if( v<26 )
        return 'a'+v;
    v -= 26;
    return v==0 ? '-' : '_';*/
}

/************************************************************************
This function converts character to six-bit value (from 0 to 63).

This function is inverse of ae_sixbits2char()
If c is not correct character, this function returns -1.
************************************************************************/
static ae_int_t _ae_char2sixbits_tbl[] = {
    -1, -1, -1, -1, -1, -1, -1, -1,
    -1, -1, -1, -1, -1, -1, -1, -1,
    -1, -1, -1, -1, -1, -1, -1, -1,
    -1, -1, -1, -1, -1, -1, -1, -1,
    -1, -1, -1, -1, -1, -1, -1, -1,
    -1, -1, -1, -1, -1, 62, -1, -1,
     0,  1,  2,  3,  4,  5,  6,  7,
     8,  9, -1, -1, -1, -1, -1, -1,
    -1, 10, 11, 12, 13, 14, 15, 16,
    17, 18, 19, 20, 21, 22, 23, 24,
    25, 26, 27, 28, 29, 30, 31, 32,
    33, 34, 35, -1, -1, -1, -1, 63,
    -1, 36, 37, 38, 39, 40, 41, 42,
    43, 44, 45, 46, 47, 48, 49, 50,
    51, 52, 53, 54, 55, 56, 57, 58,
    59, 60, 61, -1, -1, -1, -1, -1 };
ae_int_t ae_char2sixbits(char c)
{
    return (c>=0 && c<127) ? _ae_char2sixbits_tbl[(int)c] : -1;
}

/************************************************************************
This function converts three bytes (24 bits) to four six-bit values 
(24 bits again).

src     pointer to three bytes
dst     pointer to four ints
************************************************************************/
void ae_threebytes2foursixbits(const unsigned char *src, ae_int_t *dst)
{
    dst[0] = src[0] & 0x3F;
    dst[1] = (src[0]>>6) | ((src[1]&0x0F)<<2);
    dst[2] = (src[1]>>4) | ((src[2]&0x03)<<4);
    dst[3] = src[2]>>2;
}

/************************************************************************
This function converts four six-bit values (24 bits) to three bytes
(24 bits again).

src     pointer to four ints
dst     pointer to three bytes
************************************************************************/
void ae_foursixbits2threebytes(const ae_int_t *src, unsigned char *dst)
{
    dst[0] = (unsigned char)(     src[0] | ((src[1]&0x03)<<6));
    dst[1] = (unsigned char)((src[1]>>2) | ((src[2]&0x0F)<<4));
    dst[2] = (unsigned char)((src[2]>>4) | (src[3]<<2));
}

/************************************************************************
This function serializes boolean value into buffer

v           boolean value to be serialized
buf         buffer, at least 12 characters wide 
            (11 chars for value, one for trailing zero)
state       ALGLIB environment state
************************************************************************/
void ae_bool2str(ae_bool v, char *buf, ae_state *state)
{
    char c = v ? '1' : '0';
    ae_int_t i;
    for(i=0; i<AE_SER_ENTRY_LENGTH; i++)
        buf[i] = c;
    buf[AE_SER_ENTRY_LENGTH] = 0;
}

/************************************************************************
This function unserializes boolean value from buffer

buf         buffer which contains value; leading spaces/tabs/newlines are 
            ignored, traling spaces/tabs/newlines are treated as  end  of
            the boolean value.
state       ALGLIB environment state

This function raises an error in case unexpected symbol is found
************************************************************************/
ae_bool ae_str2bool(const char *buf, ae_state *state, const char **pasttheend)
{
    ae_bool was0, was1;
    const char *emsg = "ALGLIB: unable to read boolean value from stream";
    
    was0 = ae_false;
    was1 = ae_false;
    while( *buf==' ' || *buf=='\t' || *buf=='\n' || *buf=='\r' )
        buf++;
    while( *buf!=' ' && *buf!='\t' && *buf!='\n' && *buf!='\r' && *buf!=0 )
    {
        if( *buf=='0' )
        {
            was0 = ae_true;
            buf++;
            continue;
        }
        if( *buf=='1' )
        {
            was1 = ae_true;
            buf++;
            continue;
        }
        ae_break(state, ERR_ASSERTION_FAILED, emsg);
    }
    *pasttheend = buf;
    if( (!was0) && (!was1) )
        ae_break(state, ERR_ASSERTION_FAILED, emsg);
    if( was0 && was1 )
        ae_break(state, ERR_ASSERTION_FAILED, emsg);
    return was1 ? ae_true : ae_false;
}

/************************************************************************
This function serializes integer value into buffer

v           integer value to be serialized
buf         buffer, at least 12 characters wide 
            (11 chars for value, one for trailing zero)
state       ALGLIB environment state
************************************************************************/
void ae_int2str(ae_int_t v, char *buf, ae_state *state)
{
    union _u
    {
        ae_int_t ival;
        unsigned char bytes[9];
    } u;
    ae_int_t i;
    ae_int_t sixbits[12];
    unsigned char c;
    
    /*
     * copy v to array of chars, sign extending it and 
     * converting to little endian order
     *
     * because we don't want to mention size of ae_int_t explicitly, 
     * we do it as follows:
     * 1. we fill u.bytes by zeros or ones (depending on sign of v)
     * 2. we copy v to u.ival
     * 3. if we run on big endian architecture, we reorder u.bytes
     * 4. now we have signed 64-bit representation of v stored in u.bytes
     * 5. additionally, we set 9th byte of u.bytes to zero in order to
     *    simplify conversion to six-bit representation
     */
    c = v<0 ? (unsigned char)0xFF : (unsigned char)0x00;
    u.ival = v;
    for(i=sizeof(ae_int_t); i<=8; i++) /* <=8 is preferred because it avoids unnecessary compiler warnings*/
        u.bytes[i] = c;
    u.bytes[8] = 0;
    if( state->endianness==AE_BIG_ENDIAN )
    {
        for(i=0; i<(ae_int_t)(sizeof(ae_int_t)/2); i++)
        {
            unsigned char tc;
            tc = u.bytes[i];
            u.bytes[i] = u.bytes[sizeof(ae_int_t)-1-i];
            u.bytes[sizeof(ae_int_t)-1-i] = tc;
        }
    }
    
    /*
     * convert to six-bit representation, output
     *
     * NOTE: last 12th element of sixbits is always zero, we do not output it
     */
    ae_threebytes2foursixbits(u.bytes+0, sixbits+0);
    ae_threebytes2foursixbits(u.bytes+3, sixbits+4);
    ae_threebytes2foursixbits(u.bytes+6, sixbits+8);        
    for(i=0; i<AE_SER_ENTRY_LENGTH; i++)
        buf[i] = ae_sixbits2char(sixbits[i]);
    buf[AE_SER_ENTRY_LENGTH] = 0x00;
}

/************************************************************************
This function serializes 64-bit integer value into buffer

v           integer value to be serialized
buf         buffer, at least 12 characters wide 
            (11 chars for value, one for trailing zero)
state       ALGLIB environment state
************************************************************************/
void ae_int642str(ae_int64_t v, char *buf, ae_state *state)
{
    unsigned char bytes[9];
    ae_int_t i;
    ae_int_t sixbits[12];
    
    /*
     * copy v to array of chars, sign extending it and 
     * converting to little endian order
     *
     * because we don't want to mention size of ae_int_t explicitly, 
     * we do it as follows:
     * 1. we fill bytes by zeros or ones (depending on sign of v)
     * 2. we memmove v to bytes
     * 3. if we run on big endian architecture, we reorder bytes
     * 4. now we have signed 64-bit representation of v stored in bytes
     * 5. additionally, we set 9th byte of bytes to zero in order to
     *    simplify conversion to six-bit representation
     */
    memset(bytes, v<0 ? 0xFF : 0x00, 8);
    memmove(bytes, &v, 8);
    bytes[8] = 0;
    if( state->endianness==AE_BIG_ENDIAN )
    {
        for(i=0; i<(ae_int_t)(sizeof(ae_int_t)/2); i++)
        {
            unsigned char tc;
            tc = bytes[i];
            bytes[i] = bytes[sizeof(ae_int_t)-1-i];
            bytes[sizeof(ae_int_t)-1-i] = tc;
        }
    }
    
    /*
     * convert to six-bit representation, output
     *
     * NOTE: last 12th element of sixbits is always zero, we do not output it
     */
    ae_threebytes2foursixbits(bytes+0, sixbits+0);
    ae_threebytes2foursixbits(bytes+3, sixbits+4);
    ae_threebytes2foursixbits(bytes+6, sixbits+8);        
    for(i=0; i<AE_SER_ENTRY_LENGTH; i++)
        buf[i] = ae_sixbits2char(sixbits[i]);
    buf[AE_SER_ENTRY_LENGTH] = 0x00;
}

/************************************************************************
This function unserializes integer value from string

buf         buffer which contains value; leading spaces/tabs/newlines are 
            ignored, traling spaces/tabs/newlines are treated as  end  of
            the boolean value.
state       ALGLIB environment state

This function raises an error in case unexpected symbol is found
************************************************************************/
ae_int_t ae_str2int(const char *buf, ae_state *state, const char **pasttheend)
{
    const char *emsg = "ALGLIB: unable to read integer value from stream";
    ae_int_t sixbits[12];
    ae_int_t sixbitsread, i;
    union _u
    {
        ae_int_t ival;
        unsigned char bytes[9];
    } u;
    /* 
     * 1. skip leading spaces
     * 2. read and decode six-bit digits
     * 3. set trailing digits to zeros
     * 4. convert to little endian 64-bit integer representation
     * 5. convert to big endian representation, if needed
     */
    while( *buf==' ' || *buf=='\t' || *buf=='\n' || *buf=='\r' )
        buf++;
    sixbitsread = 0;
    while( *buf!=' ' && *buf!='\t' && *buf!='\n' && *buf!='\r' && *buf!=0 )
    {
        ae_int_t d;
        d = ae_char2sixbits(*buf);
        if( d<0 || sixbitsread>=AE_SER_ENTRY_LENGTH )
            ae_break(state, ERR_ASSERTION_FAILED, emsg);
        sixbits[sixbitsread] = d;
        sixbitsread++;
        buf++;
    }
    *pasttheend = buf;
    if( sixbitsread==0 )
        ae_break(state, ERR_ASSERTION_FAILED, emsg);
    for(i=sixbitsread; i<12; i++)
        sixbits[i] = 0;
    ae_foursixbits2threebytes(sixbits+0, u.bytes+0);
    ae_foursixbits2threebytes(sixbits+4, u.bytes+3);
    ae_foursixbits2threebytes(sixbits+8, u.bytes+6);
    if( state->endianness==AE_BIG_ENDIAN )
    {
        for(i=0; i<(ae_int_t)(sizeof(ae_int_t)/2); i++)
        {
            unsigned char tc;
            tc = u.bytes[i];
            u.bytes[i] = u.bytes[sizeof(ae_int_t)-1-i];
            u.bytes[sizeof(ae_int_t)-1-i] = tc;
        }
    }
    return u.ival;
}

/************************************************************************
This function unserializes 64-bit integer value from string

buf         buffer which contains value; leading spaces/tabs/newlines are 
            ignored, traling spaces/tabs/newlines are treated as  end  of
            the boolean value.
state       ALGLIB environment state

This function raises an error in case unexpected symbol is found
************************************************************************/
ae_int64_t ae_str2int64(const char *buf, ae_state *state, const char **pasttheend)
{
    const char *emsg = "ALGLIB: unable to read integer value from stream";
    ae_int_t sixbits[12];
    ae_int_t sixbitsread, i;
    unsigned char bytes[9];
    ae_int64_t result;
    
    /* 
     * 1. skip leading spaces
     * 2. read and decode six-bit digits
     * 3. set trailing digits to zeros
     * 4. convert to little endian 64-bit integer representation
     * 5. convert to big endian representation, if needed
     */
    while( *buf==' ' || *buf=='\t' || *buf=='\n' || *buf=='\r' )
        buf++;
    sixbitsread = 0;
    while( *buf!=' ' && *buf!='\t' && *buf!='\n' && *buf!='\r' && *buf!=0 )
    {
        ae_int_t d;
        d = ae_char2sixbits(*buf);
        if( d<0 || sixbitsread>=AE_SER_ENTRY_LENGTH )
            ae_break(state, ERR_ASSERTION_FAILED, emsg);
        sixbits[sixbitsread] = d;
        sixbitsread++;
        buf++;
    }
    *pasttheend = buf;
    if( sixbitsread==0 )
        ae_break(state, ERR_ASSERTION_FAILED, emsg);
    for(i=sixbitsread; i<12; i++)
        sixbits[i] = 0;
    ae_foursixbits2threebytes(sixbits+0, bytes+0);
    ae_foursixbits2threebytes(sixbits+4, bytes+3);
    ae_foursixbits2threebytes(sixbits+8, bytes+6);
    if( state->endianness==AE_BIG_ENDIAN )
    {
        for(i=0; i<(ae_int_t)(sizeof(ae_int_t)/2); i++)
        {
            unsigned char tc;
            tc = bytes[i];
            bytes[i] = bytes[sizeof(ae_int_t)-1-i];
            bytes[sizeof(ae_int_t)-1-i] = tc;
        }
    }
    memmove(&result, bytes, sizeof(result));
    return result;
}


/************************************************************************
This function serializes double value into buffer

v           double value to be serialized
buf         buffer, at least 12 characters wide 
            (11 chars for value, one for trailing zero)
state       ALGLIB environment state
************************************************************************/
void ae_double2str(double v, char *buf, ae_state *state)
{
    union _u
    {
        double dval;
        unsigned char bytes[9];
    } u;
    ae_int_t i;
    ae_int_t sixbits[12];

    /*
     * handle special quantities
     */
    if( ae_isnan(v, state) )
    {
        const char *s = ".nan_______";
        memmove(buf, s, strlen(s)+1);
        return;
    }
    if( ae_isposinf(v, state) )
    {
        const char *s = ".posinf____";
        memmove(buf, s, strlen(s)+1);
        return;
    }
    if( ae_isneginf(v, state) )
    {
        const char *s = ".neginf____";
        memmove(buf, s, strlen(s)+1);
        return;
    }
    
    /*
     * process general case:
     * 1. copy v to array of chars
     * 2. set 9th byte of u.bytes to zero in order to
     *    simplify conversion to six-bit representation
     * 3. convert to little endian (if needed)
     * 4. convert to six-bit representation
     *    (last 12th element of sixbits is always zero, we do not output it)
     */
    u.dval = v;
    u.bytes[8] = 0;
    if( state->endianness==AE_BIG_ENDIAN )
    {
        for(i=0; i<(ae_int_t)(sizeof(double)/2); i++)
        {
            unsigned char tc;
            tc = u.bytes[i];
            u.bytes[i] = u.bytes[sizeof(double)-1-i];
            u.bytes[sizeof(double)-1-i] = tc;
        }
    }
    ae_threebytes2foursixbits(u.bytes+0, sixbits+0);
    ae_threebytes2foursixbits(u.bytes+3, sixbits+4);
    ae_threebytes2foursixbits(u.bytes+6, sixbits+8);
    for(i=0; i<AE_SER_ENTRY_LENGTH; i++)
        buf[i] = ae_sixbits2char(sixbits[i]);
    buf[AE_SER_ENTRY_LENGTH] = 0x00;
}

/************************************************************************
This function unserializes double value from string

buf         buffer which contains value; leading spaces/tabs/newlines are 
            ignored, traling spaces/tabs/newlines are treated as  end  of
            the boolean value.
state       ALGLIB environment state

This function raises an error in case unexpected symbol is found
************************************************************************/
double ae_str2double(const char *buf, ae_state *state, const char **pasttheend)
{
    const char *emsg = "ALGLIB: unable to read double value from stream";
    ae_int_t sixbits[12];
    ae_int_t sixbitsread, i;
    union _u
    {
        double dval;
        unsigned char bytes[9];
    } u;
    
    
     /* 
      * skip leading spaces
      */
    while( *buf==' ' || *buf=='\t' || *buf=='\n' || *buf=='\r' )
        buf++;
      
    /*
     * Handle special cases
     */
    if( *buf=='.' )
    {
        const char *s_nan =    ".nan_______";
        const char *s_posinf = ".posinf____";
        const char *s_neginf = ".neginf____";
        if( strncmp(buf, s_nan, strlen(s_nan))==0 )
        {
            *pasttheend = buf+strlen(s_nan);
            return state->v_nan;
        }
        if( strncmp(buf, s_posinf, strlen(s_posinf))==0 )
        {
            *pasttheend = buf+strlen(s_posinf);
            return state->v_posinf;
        }
        if( strncmp(buf, s_neginf, strlen(s_neginf))==0 )
        {
            *pasttheend = buf+strlen(s_neginf);
            return state->v_neginf;
        }
        ae_break(state, ERR_ASSERTION_FAILED, emsg);
    }
    
    /* 
     * General case:
     * 1. read and decode six-bit digits
     * 2. check that all 11 digits were read
     * 3. set last 12th digit to zero (needed for simplicity of conversion)
     * 4. convert to 8 bytes
     * 5. convert to big endian representation, if needed
     */
    sixbitsread = 0;
    while( *buf!=' ' && *buf!='\t' && *buf!='\n' && *buf!='\r' && *buf!=0 )
    {
        ae_int_t d;
        d = ae_char2sixbits(*buf);
        if( d<0 || sixbitsread>=AE_SER_ENTRY_LENGTH )
            ae_break(state, ERR_ASSERTION_FAILED, emsg);
        sixbits[sixbitsread] = d;
        sixbitsread++;
        buf++;
    }
    *pasttheend = buf;
    if( sixbitsread!=AE_SER_ENTRY_LENGTH )
        ae_break(state, ERR_ASSERTION_FAILED, emsg);
    sixbits[AE_SER_ENTRY_LENGTH] = 0;
    ae_foursixbits2threebytes(sixbits+0, u.bytes+0);
    ae_foursixbits2threebytes(sixbits+4, u.bytes+3);
    ae_foursixbits2threebytes(sixbits+8, u.bytes+6);
    if( state->endianness==AE_BIG_ENDIAN )
    {
        for(i=0; i<(ae_int_t)(sizeof(double)/2); i++)
        {
            unsigned char tc;
            tc = u.bytes[i];
            u.bytes[i] = u.bytes[sizeof(double)-1-i];
            u.bytes[sizeof(double)-1-i] = tc;
        }
    }
    return u.dval;
}


/************************************************************************
This function performs given number of spin-wait iterations
************************************************************************/
void ae_spin_wait(ae_int_t cnt)
{
    /*
     * these strange operations with ae_never_change_it are necessary to
     * prevent compiler optimization of the loop.
     */
    volatile ae_int_t i;
    
    /* very unlikely because no one will wait for such amount of cycles */
    if( cnt>0x12345678 )
        ae_never_change_it = cnt%10;
    
    /* spin wait, test condition which will never be true */
    for(i=0; i<cnt; i++)
        if( ae_never_change_it>0 )
            ae_never_change_it--;
}


/************************************************************************
This function causes the calling thread to relinquish the CPU. The thread
is moved to the end of the queue and some other thread gets to run.

NOTE: this function should NOT be called when AE_OS is AE_UNKNOWN  -  the
      whole program will be abnormally terminated.
************************************************************************/
void ae_yield()
{
#if AE_OS==AE_WINDOWS
    if( !SwitchToThread() )
        Sleep(0);
#elif AE_OS==AE_POSIX
    sched_yield();
#else
    abort();
#endif
}

/************************************************************************
This function initializes _lock structure which  is  internally  used  by
ae_lock high-level structure.

_lock structure is statically allocated, no malloc() calls  is  performed
during its allocation. However, you have to call  _ae_free_lock_raw()  in
order to deallocate this lock properly.
************************************************************************/
void _ae_init_lock_raw(_lock *p)
{
#if AE_OS==AE_WINDOWS
    p->p_lock = (ae_int_t*)ae_align((void*)(&p->buf),AE_LOCK_ALIGNMENT);
    p->p_lock[0] = 0;
#elif AE_OS==AE_POSIX
    pthread_mutex_init(&p->mutex, NULL);
#else
    p->is_locked = ae_false;
#endif
}


/************************************************************************
This function acquires _lock structure.

It is low-level workhorse utilized by ae_acquire_lock().
************************************************************************/
void _ae_acquire_lock_raw(_lock *p)
{
#if AE_OS==AE_WINDOWS
    ae_int_t cnt = 0;
#ifdef AE_SMP_DEBUGCOUNTERS
    InterlockedIncrement((LONG volatile *)&_ae_dbg_lock_acquisitions);
#endif
    for(;;)
    {
		if( InterlockedCompareExchange((LONG volatile *)p->p_lock, 1, 0)==0 )
		    return;
        ae_spin_wait(AE_LOCK_CYCLES);
#ifdef AE_SMP_DEBUGCOUNTERS
        InterlockedIncrement((LONG volatile *)&_ae_dbg_lock_spinwaits);
#endif
        cnt++;
        if( cnt%AE_LOCK_TESTS_BEFORE_YIELD==0 )
        {
#ifdef AE_SMP_DEBUGCOUNTERS
            InterlockedIncrement((LONG volatile *)&_ae_dbg_lock_yields);
#endif
            ae_yield();
        }
    }
#elif AE_OS==AE_POSIX
    ae_int_t cnt = 0;
    for(;;)
    {
		if(  pthread_mutex_trylock(&p->mutex)==0 )
		    return;
        ae_spin_wait(AE_LOCK_CYCLES);
        cnt++;
        if( cnt%AE_LOCK_TESTS_BEFORE_YIELD==0 )
            ae_yield();
    }
   ;
#else
    AE_CRITICAL_ASSERT(!p->is_locked);
    p->is_locked = ae_true;
#endif
}


/************************************************************************
This function releases _lock structure.

It is low-level lock function which is used by ae_release_lock.
************************************************************************/
void _ae_release_lock_raw(_lock *p)
{
#if AE_OS==AE_WINDOWS
    InterlockedExchange((LONG volatile *)p->p_lock, 0);
#elif AE_OS==AE_POSIX
    pthread_mutex_unlock(&p->mutex);
#else
    p->is_locked = ae_false;
#endif
}


/************************************************************************
This function frees _lock structure.
************************************************************************/
void _ae_free_lock_raw(_lock *p)
{
#if AE_OS==AE_POSIX
    pthread_mutex_destroy(&p->mutex);
#endif
}


/************************************************************************
This function initializes ae_lock structure.

INPUT PARAMETERS:
    lock                -   pointer to lock structure, must be zero-filled
    state               -   pointer to state structure, used for exception
                            handling and management of automatic objects.
    make_automatic      -   if true, lock object is added to automatic
                            memory management list.

NOTE: as a special exception, this function allows you  to  specify  NULL
      state pointer. In this case all exception arising during construction
      are handled as critical failures, with abort() being called.
      make_automatic must be false on such calls.
************************************************************************/
void ae_init_lock(ae_lock *lock, ae_state *state, ae_bool make_automatic)
{
    _lock *p;
    AE_CRITICAL_ASSERT(ae_check_zeros(lock,sizeof(*lock)));
    if(state==NULL)
    {
        ae_state _tmp_state;
        AE_CRITICAL_ASSERT(!make_automatic);
        ae_state_init(&_tmp_state);
        ae_init_lock(lock, &_tmp_state, ae_false);
        ae_state_clear(&_tmp_state);
        return;
    }
    lock->eternal = ae_false;
    ae_db_init(&lock->db, sizeof(_lock), state, make_automatic);
    lock->lock_ptr = lock->db.ptr;
    p = (_lock*)lock->lock_ptr;
    _ae_init_lock_raw(p);
}

/************************************************************************
This function initializes "eternal" ae_lock structure which  is  expected
to persist until the end of the execution of the program.  Eternal  locks
can not be deallocated (cleared) and  do  not  increase debug  allocation
counters.  Errors  during  allocation  of eternal  locks  are  considered
critical exceptions and handled by calling abort().

INPUT PARAMETERS:
    lock                -   pointer to lock structure, must be zero-filled
    state               -   pointer to state structure, used for exception
                            handling and management of automatic objects;
                            non-NULL.
    make_automatic      -   if true, lock object is added to automatic
                            memory management list.
************************************************************************/
void ae_init_lock_eternal(ae_lock *lock)
{
    _lock *p;
    AE_CRITICAL_ASSERT(ae_check_zeros(lock,sizeof(*lock)));
    lock->eternal = ae_true;
    lock->lock_ptr = eternal_malloc(sizeof(_lock));
    p = (_lock*)lock->lock_ptr;
    _ae_init_lock_raw(p);
}


/************************************************************************
This function acquires lock. In case lock is busy, we perform several
iterations inside tight loop before trying again.
************************************************************************/
void ae_acquire_lock(ae_lock *lock)
{
    _lock *p;
    p = (_lock*)lock->lock_ptr;
    _ae_acquire_lock_raw(p);
}


/************************************************************************
This function releases lock.
************************************************************************/
void ae_release_lock(ae_lock *lock)
{
    _lock *p;
    p = (_lock*)lock->lock_ptr;
    _ae_release_lock_raw(p);
}


/************************************************************************
This function frees ae_lock structure.
************************************************************************/
void ae_free_lock(ae_lock *lock)
{
    _lock *p;
    AE_CRITICAL_ASSERT(!lock->eternal);
    p = (_lock*)lock->lock_ptr;
    if( p!=NULL )
        _ae_free_lock_raw(p);
    ae_db_free(&lock->db);
}


/************************************************************************
This function creates ae_shared_pool structure.

dst                 destination shared pool, must be zero-filled
                    already allocated, but not initialized.
state               pointer to current state structure. Can not be NULL.
                    used for exception handling (say, allocation error results
                    in longjmp call).
make_automatic      if true, vector will be registered in the current frame
                    of the state structure;
                      
Error handling:
* on failure calls ae_break() with NULL state pointer. Usually it  results
  in abort() call.

dst is assumed to be uninitialized, its fields are ignored.
************************************************************************/
void ae_shared_pool_init(void *_dst, ae_state *state, ae_bool make_automatic)
{
    ae_shared_pool *dst;
    
    AE_CRITICAL_ASSERT(state!=NULL);
    dst = (ae_shared_pool*)_dst;
    AE_CRITICAL_ASSERT(ae_check_zeros(dst,sizeof(*dst)));
    
    /* init */
    dst->seed_object = NULL;
    dst->recycled_objects = NULL;
    dst->recycled_entries = NULL;
    dst->enumeration_counter = NULL;
    dst->size_of_object = 0;
    dst->init = NULL;
    dst->init_copy = NULL;
    dst->destroy = NULL;
    dst->frame_entry.deallocator = ae_shared_pool_destroy;
    dst->frame_entry.ptr = dst;
    if( make_automatic )
        ae_db_attach(&dst->frame_entry, state);
    ae_init_lock(&dst->pool_lock, state, ae_false);
}


/************************************************************************
This function clears all dynamically allocated fields of the pool except
for the lock. It does NOT try to acquire pool_lock.

NOTE: this function is NOT thread-safe, it is not protected by lock.
************************************************************************/
static void ae_shared_pool_internalclear(ae_shared_pool *dst)
{
    ae_shared_pool_entry *ptr, *tmp;
    
    /* destroy seed */
    if( dst->seed_object!=NULL )
    {
        dst->destroy((void*)dst->seed_object);
        ae_free((void*)dst->seed_object);
        dst->seed_object = NULL;
    }
    
    /* destroy recycled objects */
    for(ptr=dst->recycled_objects; ptr!=NULL;)
    {
        tmp = (ae_shared_pool_entry*)ptr->next_entry;
        dst->destroy(ptr->obj);
        ae_free(ptr->obj);
        ae_free(ptr);
        ptr = tmp;
    }
    dst->recycled_objects = NULL;
    
    /* destroy recycled entries */
    for(ptr=dst->recycled_entries; ptr!=NULL;)
    {
        tmp = (ae_shared_pool_entry*)ptr->next_entry;
        ae_free(ptr);
        ptr = tmp;
    }
    dst->recycled_entries = NULL;
}


/************************************************************************
This function creates copy of ae_shared_pool.

dst                 destination pool, must be zero-filled
src                 source pool
state               pointer to current state structure. Can not be NULL.
                    used for exception handling (say, allocation error results
                    in longjmp call).
make_automatic      if true, vector will be registered in the current frame
                    of the state structure;

dst is assumed to be uninitialized, its fields are ignored.

NOTE: this function is NOT thread-safe. It does not acquire pool lock, so
      you should NOT call it when lock can be used by another thread.
************************************************************************/
void ae_shared_pool_init_copy(void *_dst, void *_src, ae_state *state, ae_bool make_automatic)
{
    ae_shared_pool *dst, *src;
    ae_shared_pool_entry *ptr;
    
    /* state!=NULL, allocation errors result in exception */
    /* AE_CRITICAL_ASSERT(state!=NULL); */
    
    dst = (ae_shared_pool*)_dst;
    src = (ae_shared_pool*)_src;
    ae_shared_pool_init(dst, state, make_automatic);
    
    /* copy non-pointer fields */
    dst->size_of_object = src->size_of_object;
    dst->init = src->init;
    dst->init_copy = src->init_copy;
    dst->destroy = src->destroy;
    
    /* copy seed object */
    if( src->seed_object!=NULL )
    {
        dst->seed_object = ae_malloc(dst->size_of_object, state);
        memset(dst->seed_object, 0, dst->size_of_object);
        dst->init_copy(dst->seed_object, src->seed_object, state, ae_false);
    }
    
    /* copy recycled objects */
    dst->recycled_objects = NULL;
    for(ptr=src->recycled_objects; ptr!=NULL; ptr=(ae_shared_pool_entry*)ptr->next_entry)
    {
        ae_shared_pool_entry *tmp;
        
        /* allocate entry, immediately add to the recycled list
           (we do not want to lose it in case of future malloc failures) */
        tmp = (ae_shared_pool_entry*)ae_malloc(sizeof(ae_shared_pool_entry), state);
        memset(tmp, 0, sizeof(*tmp));
        tmp->next_entry = dst->recycled_objects;
        dst->recycled_objects = tmp;
        
        /* prepare place for object, init_copy() it */
        tmp->obj =  ae_malloc(dst->size_of_object, state);
        memset(tmp->obj, 0, dst->size_of_object);
        dst->init_copy(tmp->obj, ptr->obj, state, ae_false);
    }
    
    /* recycled entries are not copied because they do not store any information */
    dst->recycled_entries = NULL;
    
    /* enumeration counter is reset on copying */
    dst->enumeration_counter = NULL;
    
    /* initialize frame record */
    dst->frame_entry.deallocator = ae_shared_pool_destroy;
    dst->frame_entry.ptr = dst;
}


/************************************************************************
This function performs destruction of the pool object.

NOTE: this function is NOT thread-safe. It does not acquire pool lock, so
      you should NOT call it when pool can be used by another thread.
************************************************************************/
void ae_shared_pool_clear(void *_dst)
{
    ae_shared_pool *dst = (ae_shared_pool*)_dst;
    
    /* clear seed and lists */
    ae_shared_pool_internalclear(dst);
    
    /* clear fields */
    dst->seed_object = NULL;
    dst->recycled_objects = NULL;
    dst->recycled_entries = NULL;
    dst->enumeration_counter = NULL;
    dst->size_of_object = 0;
    dst->init = NULL;
    dst->init_copy = NULL;
    dst->destroy = NULL;
}

void ae_shared_pool_destroy(void *_dst)
{
    ae_shared_pool *dst = (ae_shared_pool*)_dst;
    ae_shared_pool_clear(_dst);
    ae_free_lock(&dst->pool_lock);
}


/************************************************************************
This function returns True, if internal seed object was set.  It  returns
False for un-seeded pool.

dst                 destination pool (initialized by constructor function)

NOTE: this function is NOT thread-safe. It does not acquire pool lock, so
      you should NOT call it when lock can be used by another thread.
************************************************************************/
ae_bool ae_shared_pool_is_initialized(void *_dst)
{
    ae_shared_pool *dst = (ae_shared_pool*)_dst;
    return dst->seed_object!=NULL;
}


/************************************************************************
This function sets internal seed object. All objects owned by the pool
(current seed object, recycled objects) are automatically freed.

dst                 destination pool (initialized by constructor function)
seed_object         new seed object
size_of_object      sizeof(), used to allocate memory
init                constructor function
init_copy           copy constructor
clear               destructor function
state               ALGLIB environment state

NOTE: this function is NOT thread-safe. It does not acquire pool lock, so
      you should NOT call it when lock can be used by another thread.
************************************************************************/
void ae_shared_pool_set_seed(
    ae_shared_pool  *dst,
    void            *seed_object,
    ae_int_t        size_of_object,
    void            (*init)(void* dst, ae_state* state, ae_bool make_automatic),
    void            (*init_copy)(void* dst, void* src, ae_state* state, ae_bool make_automatic),
    void            (*destroy)(void* ptr),
    ae_state        *state)
{
    /* state!=NULL, allocation errors result in exception */
    AE_CRITICAL_ASSERT(state!=NULL);
    
    /* destroy internal objects */
    ae_shared_pool_internalclear(dst);
    
    /* set non-pointer fields */
    dst->size_of_object = size_of_object;
    dst->init = init;
    dst->init_copy = init_copy;
    dst->destroy = destroy;
    
    /* set seed object */
    dst->seed_object = ae_malloc(size_of_object, state);
    memset(dst->seed_object, 0, size_of_object);
    init_copy(dst->seed_object, seed_object, state, ae_false);
}


/************************************************************************
This  function  retrieves  a  copy  of  the seed object from the pool and
stores it to target smart pointer ptr.

In case target pointer owns non-NULL  value,  it  is  deallocated  before
storing value retrieved from pool. Target pointer becomes  owner  of  the
value which was retrieved from pool.

pool                pool
pptr                pointer to ae_smart_ptr structure
state               ALGLIB environment state

NOTE: this function IS thread-safe.  It  acquires  pool  lock  during its
      operation and can be used simultaneously from several threads.
************************************************************************/
void ae_shared_pool_retrieve(
    ae_shared_pool  *pool,
    ae_smart_ptr    *pptr,
    ae_state        *state)
{
    void *new_obj;
    
    /* state!=NULL, allocation errors are handled by throwing exception from ae_malloc() */
    AE_CRITICAL_ASSERT(state!=NULL);
    
    /* assert that pool was seeded */
    ae_assert(
        pool->seed_object!=NULL,
        "ALGLIB: shared pool is not seeded, PoolRetrieve() failed",
        state);
    
    /* acquire lock */
    ae_acquire_lock(&pool->pool_lock);
    
    /* try to reuse recycled objects */
    if( pool->recycled_objects!=NULL )
    {
        ae_shared_pool_entry *result;
        
        /* retrieve entry/object from list of recycled objects */
        result = pool->recycled_objects;
        pool->recycled_objects = (ae_shared_pool_entry*)pool->recycled_objects->next_entry;
        new_obj = result->obj;
        result->obj = NULL;
        
        /* move entry to list of recycled entries */
        result->next_entry = pool->recycled_entries;
        pool->recycled_entries = result;
        
        /* release lock */
        ae_release_lock(&pool->pool_lock);
        
        /* assign object to smart pointer */
        ae_smart_ptr_assign(pptr, new_obj, ae_true, ae_true, pool->destroy);
        return;
    }
        
    /* release lock; we do not need it anymore because copy constructor does not modify source variable */
    ae_release_lock(&pool->pool_lock);
    
    /* create new object from seed, immediately assign object to smart pointer
      (do not want to lose it in case of future failures) */
    new_obj = ae_malloc(pool->size_of_object, state);
    memset(new_obj, 0, pool->size_of_object);
    ae_smart_ptr_assign(pptr, new_obj, ae_true, ae_true, pool->destroy);
    
    /* perform actual copying; before this line smartptr points to zero-filled instance */
    pool->init_copy(new_obj, pool->seed_object, state, ae_false);
}


/************************************************************************
This function recycles object owned by smart  pointer  by  moving  it  to
internal storage of the shared pool.

Source pointer must own the object. After function is over, it owns NULL
pointer.

pool                pool
pptr                pointer to ae_smart_ptr structure
state               ALGLIB environment state

NOTE: this function IS thread-safe.  It  acquires  pool  lock  during its
      operation and can be used simultaneously from several threads.
************************************************************************/
void ae_shared_pool_recycle(
    ae_shared_pool  *pool,
    ae_smart_ptr    *pptr,
    ae_state        *state)
{
    ae_shared_pool_entry *new_entry;
    
    /* state!=NULL, allocation errors are handled by throwing exception from ae_malloc() */
    AE_CRITICAL_ASSERT(state!=NULL);
    
    /* assert that pool was seeded */
    ae_assert(
        pool->seed_object!=NULL,
        "ALGLIB: shared pool is not seeded, PoolRecycle() failed",
        state);
    
    /* assert that pointer non-null and owns the object */
    ae_assert(pptr->is_owner,  "ALGLIB: pptr in ae_shared_pool_recycle() does not own its pointer", state);
    ae_assert(pptr->ptr!=NULL, "ALGLIB: pptr in ae_shared_pool_recycle() is NULL", state);
    
    /* acquire lock */
    ae_acquire_lock(&pool->pool_lock);
    
    /* acquire shared pool entry (reuse one from recycled_entries or allocate new one) */
    if( pool->recycled_entries!=NULL )
    {
        /* reuse previously allocated entry */
        new_entry = pool->recycled_entries;
        pool->recycled_entries = (ae_shared_pool_entry*)new_entry->next_entry;
    }
    else
    {
        /*
         * Allocate memory for new entry.
         *
         * NOTE: we release pool lock during allocation because ae_malloc() may raise
         *       exception and we do not want our pool to be left in the locked state.
         */
        ae_release_lock(&pool->pool_lock);
        new_entry =  (ae_shared_pool_entry*)ae_malloc(sizeof(ae_shared_pool_entry), state);
        ae_acquire_lock(&pool->pool_lock);
    }
    
    /* add object to the list of recycled objects */
    new_entry->obj = pptr->ptr;
    new_entry->next_entry = pool->recycled_objects;
    pool->recycled_objects = new_entry;
    
    /* release lock object */
    ae_release_lock(&pool->pool_lock);
    
    /* release source pointer */
    ae_smart_ptr_release(pptr);
}


/************************************************************************
This function clears internal list of  recycled  objects,  but  does  not
change seed object managed by the pool.

pool                pool
state               ALGLIB environment state

NOTE: this function is NOT thread-safe. It does not acquire pool lock, so
      you should NOT call it when lock can be used by another thread.
************************************************************************/
void ae_shared_pool_clear_recycled(
    ae_shared_pool  *pool,
    ae_state        *state)
{
    ae_shared_pool_entry *ptr, *tmp;
    
    /* clear recycled objects */
    for(ptr=pool->recycled_objects; ptr!=NULL;)
    {
        tmp = (ae_shared_pool_entry*)ptr->next_entry;
        pool->destroy(ptr->obj);
        ae_free(ptr->obj);
        ae_free(ptr);
        ptr = tmp;
    }
    pool->recycled_objects = NULL;
}


/************************************************************************
This function allows to enumerate recycled elements of the  shared  pool.
It stores pointer to the first recycled object in the smart pointer.

IMPORTANT:
* in case target pointer owns non-NULL  value,  it  is deallocated before
  storing value retrieved from pool.
* recycled object IS NOT removed from pool
* target pointer DOES NOT become owner of the new value
* this function IS NOT thread-safe
* you SHOULD NOT modify shared pool during enumeration (although you  can
  modify state of the objects retrieved from pool)
* in case there is no recycled objects in the pool, NULL is stored to pptr
* in case pool is not seeded, NULL is stored to pptr

pool                pool
pptr                pointer to ae_smart_ptr structure
state               ALGLIB environment state
************************************************************************/
void ae_shared_pool_first_recycled(
    ae_shared_pool  *pool,
    ae_smart_ptr    *pptr,
    ae_state        *state)
{   
    /* modify internal enumeration counter */
    pool->enumeration_counter = pool->recycled_objects;
    
    /* exit on empty list */
    if( pool->enumeration_counter==NULL )
    {
        ae_smart_ptr_assign(pptr, NULL, ae_false, ae_false, NULL);
        return;
    }
    
    /* assign object to smart pointer */
    ae_smart_ptr_assign(pptr, pool->enumeration_counter->obj, ae_false, ae_false, pool->destroy);
}


/************************************************************************
This function allows to enumerate recycled elements of the  shared  pool.
It stores pointer to the next recycled object in the smart pointer.

IMPORTANT:
* in case target pointer owns non-NULL  value,  it  is deallocated before
  storing value retrieved from pool.
* recycled object IS NOT removed from pool
* target pointer DOES NOT become owner of the new value
* this function IS NOT thread-safe
* you SHOULD NOT modify shared pool during enumeration (although you  can
  modify state of the objects retrieved from pool)
* in case there is no recycled objects left in the pool, NULL is stored.
* in case pool is not seeded, NULL is stored.

pool                pool
pptr                pointer to ae_smart_ptr structure
state               ALGLIB environment state
************************************************************************/
void ae_shared_pool_next_recycled(
    ae_shared_pool  *pool,
    ae_smart_ptr    *pptr,
    ae_state        *state)
{   
    /* exit on end of list */
    if( pool->enumeration_counter==NULL )
    {
        ae_smart_ptr_assign(pptr, NULL, ae_false, ae_false, NULL);
        return;
    }
    
    /* modify internal enumeration counter */
    pool->enumeration_counter = (ae_shared_pool_entry*)pool->enumeration_counter->next_entry;
    
    /* exit on empty list */
    if( pool->enumeration_counter==NULL )
    {
        ae_smart_ptr_assign(pptr, NULL, ae_false, ae_false, NULL);
        return;
    }
    
    /* assign object to smart pointer */
    ae_smart_ptr_assign(pptr, pool->enumeration_counter->obj, ae_false, ae_false, pool->destroy);
}



/************************************************************************
This function clears internal list of recycled objects and  seed  object.
However, pool still can be used (after initialization with another seed).

pool                pool
state               ALGLIB environment state

NOTE: this function is NOT thread-safe. It does not acquire pool lock, so
      you should NOT call it when lock can be used by another thread.
************************************************************************/
void ae_shared_pool_reset(
    ae_shared_pool  *pool,
    ae_state        *state)
{
    /* clear seed and lists */
    ae_shared_pool_internalclear(pool);
    
    /* clear fields */
    pool->seed_object = NULL;
    pool->recycled_objects = NULL;
    pool->recycled_entries = NULL;
    pool->enumeration_counter = NULL;
    pool->size_of_object = 0;
    pool->init = NULL;
    pool->init_copy = NULL;
    pool->destroy = NULL;
}


/************************************************************************
This function initializes serializer
************************************************************************/
void ae_serializer_init(ae_serializer *serializer)
{
    serializer->mode = AE_SM_DEFAULT;
    serializer->entries_needed = 0;
    serializer->bytes_asked = 0;
}

void ae_serializer_clear(ae_serializer *serializer)
{
}

void ae_serializer_alloc_start(ae_serializer *serializer)
{
    serializer->entries_needed = 0;
    serializer->bytes_asked = 0;
    serializer->mode = AE_SM_ALLOC;
}

void ae_serializer_alloc_entry(ae_serializer *serializer)
{
    serializer->entries_needed++;
}

void ae_serializer_alloc_byte_array(ae_serializer *serializer, ae_vector *bytes)
{
    ae_int_t n;
    n = bytes->cnt;
    n = n/8 + (n%8>0 ? 1 : 0);
    serializer->entries_needed += 1+n;
}

/************************************************************************
After allocation phase is done, this function returns  required  size  of
the output string buffer (including trailing zero symbol). Actual size of
the data being stored can be a few characters smaller than requested.
************************************************************************/
ae_int_t ae_serializer_get_alloc_size(ae_serializer *serializer)
{
    ae_int_t rows, lastrowsize, result;
    
    serializer->mode = AE_SM_READY2S;
    
    /* if no entries needes (degenerate case) */
    if( serializer->entries_needed==0 )
    {
        serializer->bytes_asked = 4; /* a pair of chars for \r\n, one for dot, one for trailing zero */
        return serializer->bytes_asked;
    }
    
    /* non-degenerate case */
    rows = serializer->entries_needed/AE_SER_ENTRIES_PER_ROW;
    lastrowsize = AE_SER_ENTRIES_PER_ROW;
    if( serializer->entries_needed%AE_SER_ENTRIES_PER_ROW )
    {
        lastrowsize = serializer->entries_needed%AE_SER_ENTRIES_PER_ROW;
        rows++;
    }
    
    /* calculate result size */
    result  = ((rows-1)*AE_SER_ENTRIES_PER_ROW+lastrowsize)*AE_SER_ENTRY_LENGTH;    /* data size */
    result +=  (rows-1)*(AE_SER_ENTRIES_PER_ROW-1)+(lastrowsize-1);                 /* space symbols */
    result += rows*2;                                                               /* newline symbols */
    result += 1;                                                                    /* trailing dot */
    result += 1;                                                                    /* trailing zero */
    serializer->bytes_asked = result;
    return result;
}

#ifdef AE_USE_CPP_SERIALIZATION
void ae_serializer_sstart_str(ae_serializer *serializer, std::string *buf)
{
    serializer->mode = AE_SM_TO_CPPSTRING;
    serializer->out_cppstr = buf;
    serializer->entries_saved = 0;
    serializer->bytes_written = 0;
}

void ae_serializer_ustart_str(ae_serializer *serializer, const std::string *buf)
{
    serializer->mode = AE_SM_FROM_STRING;
    serializer->in_str = buf->c_str();
}

static char cpp_writer(const char *p_string, ae_int_t aux)
{
    std::ostream *stream = reinterpret_cast<std::ostream*>(aux);
    stream->write(p_string, strlen(p_string));
    return stream->bad() ? 1 : 0;
}

static char cpp_reader(ae_int_t aux, ae_int_t cnt, char *p_buf)
{
    std::istream *stream = reinterpret_cast<std::istream*>(aux);
    int c;
    if( cnt<=0 )
        return 1; /* unexpected cnt */
    for(;;)
    {
        c = stream->get();
        if( c<0 || c>255 )
            return 1; /* failure! */
        if( c!=' ' && c!='\t' && c!='\n' && c!='\r' )
            break;
    }
    p_buf[0] = (char)c;
    for(int k=1; k<cnt; k++)
    {
        c = stream->get();
        if( c<0 || c>255 || c==' ' || c=='\t' || c=='\n' || c=='\r' )
            return 1; /* failure! */
        p_buf[k] = (char)c;
    }
    p_buf[cnt] = 0;
    return 0; /* success */
}

void ae_serializer_sstart_stream(ae_serializer *serializer, std::ostream *stream)
{
    serializer->mode = AE_SM_TO_STREAM;
    serializer->stream_writer = cpp_writer;
    serializer->stream_aux = reinterpret_cast<ae_int_t>(stream);
    serializer->entries_saved = 0;
    serializer->bytes_written = 0;
}

void ae_serializer_ustart_stream(ae_serializer *serializer, const std::istream *stream)
{
    serializer->mode = AE_SM_FROM_STREAM;
    serializer->stream_reader = cpp_reader;
    serializer->stream_aux = reinterpret_cast<ae_int_t>(stream);
}
#endif

void ae_serializer_sstart_str(ae_serializer *serializer, char *buf)
{
    serializer->mode = AE_SM_TO_STRING;
    serializer->out_str = buf;
    serializer->out_str[0] = 0;
    serializer->entries_saved = 0;
    serializer->bytes_written = 0;
}

void ae_serializer_ustart_str(ae_serializer *serializer, const char *buf)
{
    serializer->mode = AE_SM_FROM_STRING;
    serializer->in_str = buf;
}

void ae_serializer_sstart_stream(ae_serializer *serializer, ae_stream_writer writer, ae_int_t aux)
{
    serializer->mode = AE_SM_TO_STREAM;
    serializer->stream_writer = writer;
    serializer->stream_aux = aux;
    serializer->entries_saved = 0;
    serializer->bytes_written = 0;
}

void ae_serializer_ustart_stream(ae_serializer *serializer, ae_stream_reader reader, ae_int_t aux)
{
    serializer->mode = AE_SM_FROM_STREAM;
    serializer->stream_reader = reader;
    serializer->stream_aux = aux;
}

void ae_serializer_serialize_bool(ae_serializer *serializer, ae_bool v, ae_state *state)
{
    char buf[AE_SER_ENTRY_LENGTH+2+1];
    const char *emsg = "ALGLIB: serialization integrity error";
    ae_int_t bytes_appended;
    
    /* prepare serialization, check consistency */
    ae_bool2str(v, buf, state);
    serializer->entries_saved++;
    if( serializer->entries_saved%AE_SER_ENTRIES_PER_ROW )
        strcat(buf, " ");
    else
        strcat(buf, "\r\n");
    bytes_appended = (ae_int_t)strlen(buf);
    ae_assert(serializer->bytes_written+bytes_appended<serializer->bytes_asked, emsg, state); /* strict "less" because we need space for trailing zero */
    serializer->bytes_written += bytes_appended;
        
    /* append to buffer */
#ifdef AE_USE_CPP_SERIALIZATION
    if( serializer->mode==AE_SM_TO_CPPSTRING )
    {
        *(serializer->out_cppstr) += buf;
        return;
    }
#endif
    if( serializer->mode==AE_SM_TO_STRING )
    {
        strcat(serializer->out_str, buf);
        serializer->out_str += bytes_appended;
        return;
    }
    if( serializer->mode==AE_SM_TO_STREAM )
    {
        ae_assert(serializer->stream_writer(buf, serializer->stream_aux)==0, "serializer: error writing to stream", state);
        return;
    }
    ae_break(state, ERR_ASSERTION_FAILED, emsg);
}

void ae_serializer_serialize_int(ae_serializer *serializer, ae_int_t v, ae_state *state)
{
    char buf[AE_SER_ENTRY_LENGTH+2+1];
    const char *emsg = "ALGLIB: serialization integrity error";
    ae_int_t bytes_appended;
    
    /* prepare serialization, check consistency */
    ae_int2str(v, buf, state);
    serializer->entries_saved++;
    if( serializer->entries_saved%AE_SER_ENTRIES_PER_ROW )
        strcat(buf, " ");
    else
        strcat(buf, "\r\n");
    bytes_appended = (ae_int_t)strlen(buf);
    ae_assert(serializer->bytes_written+bytes_appended<serializer->bytes_asked, emsg, state); /* strict "less" because we need space for trailing zero */
    serializer->bytes_written += bytes_appended;
        
    /* append to buffer */
#ifdef AE_USE_CPP_SERIALIZATION
    if( serializer->mode==AE_SM_TO_CPPSTRING )
    {
        *(serializer->out_cppstr) += buf;
        return;
    }
#endif
    if( serializer->mode==AE_SM_TO_STRING )
    {
        strcat(serializer->out_str, buf);
        serializer->out_str += bytes_appended;
        return;
    }
    if( serializer->mode==AE_SM_TO_STREAM )
    {
        ae_assert(serializer->stream_writer(buf, serializer->stream_aux)==0, "serializer: error writing to stream", state);
        return;
    }
    ae_break(state, ERR_ASSERTION_FAILED, emsg);
}

void ae_serializer_serialize_int64(ae_serializer *serializer, ae_int64_t v, ae_state *state)
{
    char buf[AE_SER_ENTRY_LENGTH+2+1];
    const char *emsg = "ALGLIB: serialization integrity error";
    ae_int_t bytes_appended;
    
    /* prepare serialization, check consistency */
    ae_int642str(v, buf, state);
    serializer->entries_saved++;
    if( serializer->entries_saved%AE_SER_ENTRIES_PER_ROW )
        strcat(buf, " ");
    else
        strcat(buf, "\r\n");
    bytes_appended = (ae_int_t)strlen(buf);
    ae_assert(serializer->bytes_written+bytes_appended<serializer->bytes_asked, emsg, state); /* strict "less" because we need space for trailing zero */
    serializer->bytes_written += bytes_appended;
        
    /* append to buffer */
#ifdef AE_USE_CPP_SERIALIZATION
    if( serializer->mode==AE_SM_TO_CPPSTRING )
    {
        *(serializer->out_cppstr) += buf;
        return;
    }
#endif
    if( serializer->mode==AE_SM_TO_STRING )
    {
        strcat(serializer->out_str, buf);
        serializer->out_str += bytes_appended;
        return;
    }
    if( serializer->mode==AE_SM_TO_STREAM )
    {
        ae_assert(serializer->stream_writer(buf, serializer->stream_aux)==0, "serializer: error writing to stream", state);
        return;
    }
    ae_break(state, ERR_ASSERTION_FAILED, emsg);
}

void ae_serializer_serialize_double(ae_serializer *serializer, double v, ae_state *state)
{
    char buf[AE_SER_ENTRY_LENGTH+2+1];
    const char *emsg = "ALGLIB: serialization integrity error";
    ae_int_t bytes_appended;
    
    /* prepare serialization, check consistency */
    ae_double2str(v, buf, state);
    serializer->entries_saved++;
    if( serializer->entries_saved%AE_SER_ENTRIES_PER_ROW )
        strcat(buf, " ");
    else
        strcat(buf, "\r\n");
    bytes_appended = (ae_int_t)strlen(buf);
    ae_assert(serializer->bytes_written+bytes_appended<serializer->bytes_asked, emsg, state); /* strict "less" because we need space for trailing zero */
    serializer->bytes_written += bytes_appended;
        
    /* append to buffer */
#ifdef AE_USE_CPP_SERIALIZATION
    if( serializer->mode==AE_SM_TO_CPPSTRING )
    {
        *(serializer->out_cppstr) += buf;
        return;
    }
#endif
    if( serializer->mode==AE_SM_TO_STRING )
    {
        strcat(serializer->out_str, buf);
        serializer->out_str += bytes_appended;
        return;
    }
    if( serializer->mode==AE_SM_TO_STREAM )
    {
        ae_assert(serializer->stream_writer(buf, serializer->stream_aux)==0, "serializer: error writing to stream", state);
        return;
    }
    ae_break(state, ERR_ASSERTION_FAILED, emsg);
}

void ae_serializer_serialize_byte_array(ae_serializer *serializer, ae_vector *bytes, ae_state *state)
{
    ae_int_t chunk_size, entries_count;
    
    chunk_size = 8;
    
    /* save array length */
    ae_serializer_serialize_int(serializer, bytes->cnt, state);
            
    /* determine entries count */
    entries_count = bytes->cnt/chunk_size + (bytes->cnt%chunk_size>0 ? 1 : 0);
    for(ae_int_t eidx=0; eidx<entries_count; eidx++)
    {
        ae_int64_t tmpi;
        ae_int_t elen;
        elen = bytes->cnt - eidx*chunk_size;
        elen = elen>chunk_size ? chunk_size : elen;
        memset(&tmpi, 0, sizeof(tmpi));
        memmove(&tmpi, bytes->ptr.p_ubyte + eidx*chunk_size, elen);
        ae_serializer_serialize_int64(serializer, tmpi, state);
    }
}

void ae_serializer_unserialize_bool(ae_serializer *serializer, ae_bool *v, ae_state *state)
{
    if( serializer->mode==AE_SM_FROM_STRING )
    {
        *v = ae_str2bool(serializer->in_str, state, &serializer->in_str);
        return;
    }
    if( serializer->mode==AE_SM_FROM_STREAM )
    {
        char buf[AE_SER_ENTRY_LENGTH+2+1];
        const char *p = buf;
        ae_assert(serializer->stream_reader(serializer->stream_aux, AE_SER_ENTRY_LENGTH, buf)==0, "serializer: error reading from stream", state);
        *v = ae_str2bool(buf, state, &p);
        return;
    }
    ae_break(state, ERR_ASSERTION_FAILED, "ae_serializer: integrity check failed");
}

void ae_serializer_unserialize_int(ae_serializer *serializer, ae_int_t *v, ae_state *state)
{
    if( serializer->mode==AE_SM_FROM_STRING )
    {
        *v = ae_str2int(serializer->in_str, state, &serializer->in_str);
        return;
    }
    if( serializer->mode==AE_SM_FROM_STREAM )
    {
        char buf[AE_SER_ENTRY_LENGTH+2+1];
        const char *p = buf;
        ae_assert(serializer->stream_reader(serializer->stream_aux, AE_SER_ENTRY_LENGTH, buf)==0, "serializer: error reading from stream", state);
        *v = ae_str2int(buf, state, &p);
        return;
    }
    ae_break(state, ERR_ASSERTION_FAILED, "ae_serializer: integrity check failed");
}

void ae_serializer_unserialize_int64(ae_serializer *serializer, ae_int64_t *v, ae_state *state)
{
    if( serializer->mode==AE_SM_FROM_STRING )
    {
        *v = ae_str2int64(serializer->in_str, state, &serializer->in_str);
        return;
    }
    if( serializer->mode==AE_SM_FROM_STREAM )
    {
        char buf[AE_SER_ENTRY_LENGTH+2+1];
        const char *p = buf;
        ae_assert(serializer->stream_reader(serializer->stream_aux, AE_SER_ENTRY_LENGTH, buf)==0, "serializer: error reading from stream", state);
        *v = ae_str2int64(buf, state, &p);
        return;
    }
    ae_break(state, ERR_ASSERTION_FAILED, "ae_serializer: integrity check failed");
}

void ae_serializer_unserialize_double(ae_serializer *serializer, double *v, ae_state *state)
{
    if( serializer->mode==AE_SM_FROM_STRING )
    {
        *v = ae_str2double(serializer->in_str, state, &serializer->in_str);
        return;
    }
    if( serializer->mode==AE_SM_FROM_STREAM )
    {
        char buf[AE_SER_ENTRY_LENGTH+2+1];
        const char *p = buf;
        ae_assert(serializer->stream_reader(serializer->stream_aux, AE_SER_ENTRY_LENGTH, buf)==0, "serializer: error reading from stream", state);
        *v = ae_str2double(buf, state, &p);
        return;
    }
    ae_break(state, ERR_ASSERTION_FAILED, "ae_serializer: integrity check failed");
}

void ae_serializer_unserialize_byte_array(ae_serializer *serializer, ae_vector *bytes, ae_state *state)
{
    ae_int_t chunk_size, n, entries_count;
    
    chunk_size = 8;
            
    /* read array length, allocate output */
    ae_serializer_unserialize_int(serializer, &n, state);
    ae_vector_set_length(bytes, n, state);
            
    /* determine entries count, read entries */
    entries_count = n/chunk_size + (n%chunk_size>0 ? 1 : 0);
    for(ae_int_t eidx=0; eidx<entries_count; eidx++)
    {
        ae_int_t elen;
        ae_int64_t tmp64;
        
        elen = n-eidx*chunk_size;
        elen = elen>chunk_size ? chunk_size : elen;
        ae_serializer_unserialize_int64(serializer, &tmp64, state);
        memmove(bytes->ptr.p_ubyte+eidx*chunk_size, &tmp64, elen);
    }
}

void ae_serializer_stop(ae_serializer *serializer, ae_state *state)
{
#ifdef AE_USE_CPP_SERIALIZATION
    if( serializer->mode==AE_SM_TO_CPPSTRING )
    {
        ae_assert(serializer->bytes_written+1<serializer->bytes_asked, "ae_serializer: integrity check failed", state);/* strict "less" because we need space for trailing zero */
        serializer->bytes_written++;
        *(serializer->out_cppstr) += ".";
        return;
    }
#endif
    if( serializer->mode==AE_SM_TO_STRING )
    {
        ae_assert(serializer->bytes_written+1<serializer->bytes_asked, "ae_serializer: integrity check failed", state); /* strict "less" because we need space for trailing zero */
        serializer->bytes_written++;
        strcat(serializer->out_str, ".");
        serializer->out_str += 1;
        return;
    }
    if( serializer->mode==AE_SM_TO_STREAM )
    {
        ae_assert(serializer->bytes_written+1<serializer->bytes_asked, "ae_serializer: integrity check failed", state); /* strict "less" because we need space for trailing zero */
        serializer->bytes_written++;
        ae_assert(serializer->stream_writer(".", serializer->stream_aux)==0, "ae_serializer: error writing to stream", state);
        return;
    }
    if( serializer->mode==AE_SM_FROM_STRING )
    {
        /*
         * because input string may be from pre-3.11 serializer,
         * which does not include trailing dot, we do not test
         * string for presence of "." symbol. Anyway, because string
         * is not stream, we do not have to read ALL trailing symbols.
         */
        return;
    }
    if( serializer->mode==AE_SM_FROM_STREAM )
    {
        /*
         * Read trailing dot, perform integrity check
         */
        char buf[2];
        ae_assert(serializer->stream_reader(serializer->stream_aux, 1, buf)==0, "ae_serializer: error reading from stream", state);
        ae_assert(buf[0]=='.', "ae_serializer: trailing . is not found in the stream", state);
        return;
    }
    ae_break(state, ERR_ASSERTION_FAILED, "ae_serializer: integrity check failed");
}


/************************************************************************
Complex math functions
************************************************************************/
ae_complex ae_complex_from_i(ae_int_t v)
{
    ae_complex r;
    r.x = (double)v;
    r.y = 0.0;
    return r;
}

ae_complex ae_complex_from_d(double v)
{
    ae_complex r;
    r.x = v;
    r.y = 0.0;
    return r;
}

ae_complex ae_c_neg(ae_complex lhs)
{
    ae_complex result;
    result.x = -lhs.x;
    result.y = -lhs.y;
    return result;
}

ae_complex ae_c_conj(ae_complex lhs, ae_state *state)
{
    ae_complex result;
    result.x = +lhs.x;
    result.y = -lhs.y;
    return result;
}

ae_complex ae_c_sqr(ae_complex lhs, ae_state *state)
{
    ae_complex result;
    result.x = lhs.x*lhs.x-lhs.y*lhs.y;
    result.y = 2*lhs.x*lhs.y;
    return result;
}

double ae_c_abs(ae_complex z, ae_state *state)
{
    double w;
    double xabs;
    double yabs;
    double v;

    xabs = fabs(z.x);
    yabs = fabs(z.y);
    w = xabs>yabs ? xabs : yabs;
    v = xabs<yabs ? xabs : yabs;
    if( v==0 )
        return w;
    else
    {
        double t = v/w;
        return w*sqrt(1+t*t);
    }
}

ae_bool ae_c_eq(ae_complex lhs,   ae_complex rhs)
{
    volatile double x1 = lhs.x;
    volatile double x2 = rhs.x;
    volatile double y1 = lhs.y;
    volatile double y2 = rhs.y;
    return x1==x2 && y1==y2;
}

ae_bool ae_c_neq(ae_complex lhs,  ae_complex rhs)
{
    volatile double x1 = lhs.x;
    volatile double x2 = rhs.x;
    volatile double y1 = lhs.y;
    volatile double y2 = rhs.y;
    return x1!=x2 || y1!=y2;
}

ae_complex ae_c_add(ae_complex lhs,  ae_complex rhs)
{
    ae_complex result;
    result.x = lhs.x+rhs.x;
    result.y = lhs.y+rhs.y;
    return result;
}

ae_complex ae_c_mul(ae_complex lhs,  ae_complex rhs)
{
    ae_complex result;
    result.x = lhs.x*rhs.x-lhs.y*rhs.y;
    result.y = lhs.x*rhs.y+lhs.y*rhs.x;
    return result;
}

ae_complex ae_c_sub(ae_complex lhs,   ae_complex rhs)
{
    ae_complex result;
    result.x = lhs.x-rhs.x;
    result.y = lhs.y-rhs.y;
    return result;
}

ae_complex ae_c_div(ae_complex lhs,   ae_complex rhs)
{
    ae_complex result;
    double e;
    double f;
    if( fabs(rhs.y)<fabs(rhs.x) )
    {
        e = rhs.y/rhs.x;
        f = rhs.x+rhs.y*e;
        result.x = (lhs.x+lhs.y*e)/f;
        result.y = (lhs.y-lhs.x*e)/f;
    }
    else
    {
        e = rhs.x/rhs.y;
        f = rhs.y+rhs.x*e;
        result.x = (lhs.y+lhs.x*e)/f;
        result.y = (-lhs.x+lhs.y*e)/f;
    }
    return result;
}

ae_bool ae_c_eq_d(ae_complex lhs,  double rhs)
{
    volatile double x1 = lhs.x;
    volatile double x2 = rhs;
    volatile double y1 = lhs.y;
    volatile double y2 = 0;
    return x1==x2 && y1==y2;
}

ae_bool ae_c_neq_d(ae_complex lhs, double rhs)
{
    volatile double x1 = lhs.x;
    volatile double x2 = rhs;
    volatile double y1 = lhs.y;
    volatile double y2 = 0;
    return x1!=x2 || y1!=y2;
}

ae_complex ae_c_add_d(ae_complex lhs, double rhs)
{
    ae_complex result;
    result.x = lhs.x+rhs;
    result.y = lhs.y;
    return result;
}

ae_complex ae_c_mul_d(ae_complex lhs, double rhs)
{
    ae_complex result;
    result.x = lhs.x*rhs;
    result.y = lhs.y*rhs;
    return result;
}

ae_complex ae_c_sub_d(ae_complex lhs, double rhs)
{
    ae_complex result;
    result.x = lhs.x-rhs;
    result.y = lhs.y;
    return result;
}

ae_complex ae_c_d_sub(double lhs,     ae_complex rhs)
{
    ae_complex result;
    result.x = lhs-rhs.x;
    result.y = -rhs.y;
    return result;
}

ae_complex ae_c_div_d(ae_complex lhs, double rhs)
{
    ae_complex result;
    result.x = lhs.x/rhs;
    result.y = lhs.y/rhs;
    return result;
}

ae_complex ae_c_d_div(double lhs,   ae_complex rhs)
{
    ae_complex result;
    double e;
    double f;
    if( fabs(rhs.y)<fabs(rhs.x) )
    {
        e = rhs.y/rhs.x;
        f = rhs.x+rhs.y*e;
        result.x = lhs/f;
        result.y = -lhs*e/f;
    }
    else
    {
        e = rhs.x/rhs.y;
        f = rhs.y+rhs.x*e;
        result.x = lhs*e/f;
        result.y = -lhs/f;
    }
    return result;
}


/************************************************************************
Complex BLAS operations
************************************************************************/
ae_complex ae_v_cdotproduct(const ae_complex *v0, ae_int_t stride0, const char *conj0, const ae_complex *v1, ae_int_t stride1, const char *conj1, ae_int_t n)
{
    double rx = 0, ry = 0; 
    ae_int_t i;
    ae_bool bconj0 = !((conj0[0]=='N') || (conj0[0]=='n'));
    ae_bool bconj1 = !((conj1[0]=='N') || (conj1[0]=='n'));
    ae_complex result;
    if( bconj0 && bconj1 )
    {
        double v0x, v0y, v1x, v1y;
        for(i=0; i<n; i++, v0+=stride0, v1+=stride1)
        {
            v0x = v0->x;
            v0y = -v0->y;
            v1x = v1->x;
            v1y = -v1->y;
            rx += v0x*v1x-v0y*v1y;
            ry += v0x*v1y+v0y*v1x;
        }
    }
    if( !bconj0 && bconj1 )
    {
        double v0x, v0y, v1x, v1y;
        for(i=0; i<n; i++, v0+=stride0, v1+=stride1)
        {
            v0x = v0->x;
            v0y = v0->y;
            v1x = v1->x;
            v1y = -v1->y;
            rx += v0x*v1x-v0y*v1y;
            ry += v0x*v1y+v0y*v1x;
        }
    }
    if( bconj0 && !bconj1 )
    {
        double v0x, v0y, v1x, v1y;
        for(i=0; i<n; i++, v0+=stride0, v1+=stride1)
        {
            v0x = v0->x;
            v0y = -v0->y;
            v1x = v1->x;
            v1y = v1->y;
            rx += v0x*v1x-v0y*v1y;
            ry += v0x*v1y+v0y*v1x;
        }
    }
    if( !bconj0 && !bconj1 )
    {
        double v0x, v0y, v1x, v1y;
        for(i=0; i<n; i++, v0+=stride0, v1+=stride1)
        {
            v0x = v0->x;
            v0y = v0->y;
            v1x = v1->x;
            v1y = v1->y;
            rx += v0x*v1x-v0y*v1y;
            ry += v0x*v1y+v0y*v1x;
        }
    }
    result.x = rx;
    result.y = ry;
    return result;
}

void ae_v_cmove(ae_complex *vdst, ae_int_t stride_dst, const ae_complex* vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n)
{
    ae_bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        /*
         * general unoptimized case
         */
        if( bconj )
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x =  vsrc->x;
                vdst->y = -vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
                *vdst = *vsrc;
        }
    }
    else
    {
        /*
         * optimized case
         */
        if( bconj )
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x =  vsrc->x;
                vdst->y = -vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
                *vdst = *vsrc;
        }
    }
}

void ae_v_cmoveneg(ae_complex *vdst, ae_int_t stride_dst, const ae_complex* vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n)
{
    ae_bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        /*
         * general unoptimized case
         */
        if( bconj )
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x = -vsrc->x;
                vdst->y =  vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x = -vsrc->x;
                vdst->y = -vsrc->y;
            }
        }
    }
    else
    {
        /*
         * optimized case
         */
        if( bconj )
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x = -vsrc->x;
                vdst->y =  vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x = -vsrc->x;
                vdst->y = -vsrc->y;
            }
        }
    }
}

void ae_v_cmoved(ae_complex *vdst, ae_int_t stride_dst, const ae_complex* vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n, double alpha)
{
    ae_bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        /*
         * general unoptimized case
         */
        if( bconj )
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x =  alpha*vsrc->x;
                vdst->y = -alpha*vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x = alpha*vsrc->x;
                vdst->y = alpha*vsrc->y;
            }
        }
    }
    else
    {
        /*
         * optimized case
         */
        if( bconj )
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x =  alpha*vsrc->x;
                vdst->y = -alpha*vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x = alpha*vsrc->x;
                vdst->y = alpha*vsrc->y;
            }
        }
    }
}

void ae_v_cmovec(ae_complex *vdst, ae_int_t stride_dst, const ae_complex* vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n, ae_complex alpha)
{
    ae_bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        /*
         * general unoptimized case
         */
        if( bconj )
        {
            double ax = alpha.x, ay = alpha.y;
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x =  ax*vsrc->x+ay*vsrc->y;
                vdst->y = -ax*vsrc->y+ay*vsrc->x;
            }
        }
        else
        {
            double ax = alpha.x, ay = alpha.y;
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x = ax*vsrc->x-ay*vsrc->y;
                vdst->y = ax*vsrc->y+ay*vsrc->x;
            }
        }
    }
    else
    {
        /*
         * highly optimized case
         */
        if( bconj )
        {
            double ax = alpha.x, ay = alpha.y;
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x =  ax*vsrc->x+ay*vsrc->y;
                vdst->y = -ax*vsrc->y+ay*vsrc->x;
            }
        }
        else
        {
            double ax = alpha.x, ay = alpha.y;
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x = ax*vsrc->x-ay*vsrc->y;
                vdst->y = ax*vsrc->y+ay*vsrc->x;
            }
        }
    }
}

void ae_v_cadd(ae_complex *vdst,     ae_int_t stride_dst, const ae_complex *vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n)
{
    ae_bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        /*
         * general unoptimized case
         */
        if( bconj )
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x += vsrc->x;
                vdst->y -= vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x += vsrc->x;
                vdst->y += vsrc->y;
            }
        }
    }
    else
    {
        /*
         * optimized case
         */
        if( bconj )
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x += vsrc->x;
                vdst->y -= vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x += vsrc->x;
                vdst->y += vsrc->y;
            }
        }
    }
}

void ae_v_caddd(ae_complex *vdst,    ae_int_t stride_dst, const ae_complex *vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n, double alpha)
{
    ae_bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        /*
         * general unoptimized case
         */
        if( bconj )
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x += alpha*vsrc->x;
                vdst->y -= alpha*vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x += alpha*vsrc->x;
                vdst->y += alpha*vsrc->y;
            }
        }
    }
    else
    {
        /*
         * optimized case
         */
        if( bconj )
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x += alpha*vsrc->x;
                vdst->y -= alpha*vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x += alpha*vsrc->x;
                vdst->y += alpha*vsrc->y;
            }
        }
    }
}

void ae_v_caddc(ae_complex *vdst,    ae_int_t stride_dst, const ae_complex *vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n, ae_complex alpha)
{
    ae_bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        /*
         * general unoptimized case
         */
        double ax = alpha.x, ay = alpha.y;
        if( bconj )
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x += ax*vsrc->x+ay*vsrc->y;
                vdst->y -= ax*vsrc->y-ay*vsrc->x;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x += ax*vsrc->x-ay*vsrc->y;
                vdst->y += ax*vsrc->y+ay*vsrc->x;
            }
        }
    }
    else
    {
        /*
         * highly optimized case
         */
        double ax = alpha.x, ay = alpha.y;
        if( bconj )
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x += ax*vsrc->x+ay*vsrc->y;
                vdst->y -= ax*vsrc->y-ay*vsrc->x;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x += ax*vsrc->x-ay*vsrc->y;
                vdst->y += ax*vsrc->y+ay*vsrc->x;
            }
        }
    }
}

void ae_v_csub(ae_complex *vdst,     ae_int_t stride_dst, const ae_complex *vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n)
{
    ae_bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        /*
         * general unoptimized case
         */
        if( bconj )
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x -= vsrc->x;
                vdst->y += vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x -= vsrc->x;
                vdst->y -= vsrc->y;
            }
        }
    }
    else
    {
        /*
         * highly optimized case
         */
        if( bconj )
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x -= vsrc->x;
                vdst->y += vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x -= vsrc->x;
                vdst->y -= vsrc->y;
            }
        }
    }
}

void ae_v_csubd(ae_complex *vdst, ae_int_t stride_dst, const ae_complex *vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n, double alpha)
{
    ae_v_caddd(vdst, stride_dst, vsrc, stride_src, conj_src, n, -alpha);
}

void ae_v_csubc(ae_complex *vdst, ae_int_t stride_dst, const ae_complex *vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n, ae_complex alpha)
{
    alpha.x = -alpha.x;
    alpha.y = -alpha.y;
    ae_v_caddc(vdst, stride_dst, vsrc, stride_src, conj_src, n, alpha);
}

void ae_v_cmuld(ae_complex *vdst, ae_int_t stride_dst, ae_int_t n, double alpha)
{
    ae_int_t i;
    if( stride_dst!=1 )
    {
        /*
         * general unoptimized case
         */
        for(i=0; i<n; i++, vdst+=stride_dst)
        {
            vdst->x *= alpha;
            vdst->y *= alpha;
        }
    }
    else
    {
        /*
         * optimized case
         */
        for(i=0; i<n; i++, vdst++)
        {
            vdst->x *= alpha;
            vdst->y *= alpha;
        }
    }
}

void ae_v_cmulc(ae_complex *vdst, ae_int_t stride_dst, ae_int_t n, ae_complex alpha)
{
    ae_int_t i;
    if( stride_dst!=1 )
    {
        /*
         * general unoptimized case
         */
        double ax = alpha.x, ay = alpha.y;
        for(i=0; i<n; i++, vdst+=stride_dst)
        {
            double  dstx = vdst->x, dsty = vdst->y;
            vdst->x = ax*dstx-ay*dsty;
            vdst->y = ax*dsty+ay*dstx;
        }
    }
    else
    {
        /*
         * highly optimized case
         */
        double ax = alpha.x, ay = alpha.y;
        for(i=0; i<n; i++, vdst++)
        {
            double  dstx = vdst->x, dsty = vdst->y;
            vdst->x = ax*dstx-ay*dsty;
            vdst->y = ax*dsty+ay*dstx;
        }
    }
}

/************************************************************************
Real BLAS operations
************************************************************************/
double ae_v_dotproduct(const double *v0, ae_int_t stride0, const double *v1, ae_int_t stride1, ae_int_t n)
{
    double result = 0;
    ae_int_t i;
    if( stride0!=1 || stride1!=1 )
    {
        /*
         * slow general code
         */
        for(i=0; i<n; i++, v0+=stride0, v1+=stride1)
            result += (*v0)*(*v1);
    }
    else
    {
        /*
         * optimized code for stride=1
         */
        ae_int_t n4 = n/4;
        ae_int_t nleft = n%4;
        for(i=0; i<n4; i++, v0+=4, v1+=4)
            result += v0[0]*v1[0]+v0[1]*v1[1]+v0[2]*v1[2]+v0[3]*v1[3];
        for(i=0; i<nleft; i++, v0++, v1++)
            result += v0[0]*v1[0];
    }
    return result;
}

void ae_v_move(double *vdst,  ae_int_t stride_dst, const double* vsrc,  ae_int_t stride_src, ae_int_t n)
{
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        /*
         * general unoptimized case
         */
        for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            *vdst = *vsrc;
    }
    else
    {
        /*
         * optimized case
         */
        ae_int_t n2 = n/2;
        for(i=0; i<n2; i++, vdst+=2, vsrc+=2)
        {
            vdst[0] = vsrc[0];
            vdst[1] = vsrc[1];
        }
        if( n%2!=0 )
            vdst[0] = vsrc[0];
    }
}

void ae_v_moveneg(double *vdst,  ae_int_t stride_dst, const double* vsrc,  ae_int_t stride_src, ae_int_t n)
{
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        /*
         * general unoptimized case
         */
        for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            *vdst = -*vsrc;
    }
    else
    {
        /*
         * optimized case
         */
        ae_int_t n2 = n/2;
        for(i=0; i<n2; i++, vdst+=2, vsrc+=2)
        {
            vdst[0] = -vsrc[0];
            vdst[1] = -vsrc[1];
        }
        if( n%2!=0 )
            vdst[0] = -vsrc[0];
    }
}

void ae_v_moved(double *vdst,  ae_int_t stride_dst, const double* vsrc,  ae_int_t stride_src, ae_int_t n, double alpha)
{
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        /*
         * general unoptimized case
         */
        for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            *vdst = alpha*(*vsrc);
    }
    else
    {
        /*
         * optimized case
         */
        ae_int_t n2 = n/2;
        for(i=0; i<n2; i++, vdst+=2, vsrc+=2)
        {
            vdst[0] = alpha*vsrc[0];
            vdst[1] = alpha*vsrc[1];
        }
        if( n%2!=0 )
            vdst[0] = alpha*vsrc[0];
    }
}

void ae_v_add(double *vdst,     ae_int_t stride_dst, const double *vsrc,  ae_int_t stride_src, ae_int_t n)
{
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        /*
         * general unoptimized case
         */
        for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            *vdst += *vsrc;
    }
    else
    {
        /*
         * optimized case
         */
        ae_int_t n2 = n/2;
        for(i=0; i<n2; i++, vdst+=2, vsrc+=2)
        {
            vdst[0] += vsrc[0];
            vdst[1] += vsrc[1];
        }
        if( n%2!=0 )
            vdst[0] += vsrc[0];
    }
}

void ae_v_addd(double *vdst,    ae_int_t stride_dst, const double *vsrc,  ae_int_t stride_src, ae_int_t n, double alpha)
{
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        /*
         * general unoptimized case
         */
        for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            *vdst += alpha*(*vsrc);
    }
    else
    {
        /*
         * optimized case
         */
        ae_int_t n2 = n/2;
        for(i=0; i<n2; i++, vdst+=2, vsrc+=2)
        {
            vdst[0] += alpha*vsrc[0];
            vdst[1] += alpha*vsrc[1];
        }
        if( n%2!=0 )
            vdst[0] += alpha*vsrc[0];
    }
}

void ae_v_sub(double *vdst,     ae_int_t stride_dst, const double *vsrc,  ae_int_t stride_src, ae_int_t n)
{
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        /*
         * general unoptimized case
         */
        for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            *vdst -= *vsrc;
    }
    else
    {
        /*
         * highly optimized case
         */
        ae_int_t n2 = n/2;
        for(i=0; i<n2; i++, vdst+=2, vsrc+=2)
        {
            vdst[0] -= vsrc[0];
            vdst[1] -= vsrc[1];
        }
        if( n%2!=0 )
            vdst[0] -= vsrc[0];
    }
}

void ae_v_subd(double *vdst,  ae_int_t stride_dst, const double *vsrc,  ae_int_t stride_src, ae_int_t n, double alpha)
{
    ae_v_addd(vdst, stride_dst, vsrc, stride_src, n, -alpha);
}

void ae_v_muld(double *vdst,  ae_int_t stride_dst, ae_int_t n, double alpha)
{
    ae_int_t i;
    if( stride_dst!=1 )
    {
        /*
         * general unoptimized case
         */
        for(i=0; i<n; i++, vdst+=stride_dst)
            *vdst *= alpha;
    }
    else
    {
        /*
         * highly optimized case
         */
        for(i=0; i<n; i++, vdst++)
            *vdst *= alpha;
    }
}

/************************************************************************
Other functions
************************************************************************/
ae_int_t ae_v_len(ae_int_t a, ae_int_t b)
{
    return b-a+1;
}

/************************************************************************
RComm functions
************************************************************************/
void _rcommstate_init(rcommstate* p, ae_state *_state, ae_bool make_automatic)
{
    /* initial zero-filling */
    memset(&p->ba, 0, sizeof(p->ba));
    memset(&p->ia, 0, sizeof(p->ia));
    memset(&p->ra, 0, sizeof(p->ra));
    memset(&p->ca, 0, sizeof(p->ca));
    
    /* initialization */
    ae_vector_init(&p->ba, 0, DT_BOOL,    _state, make_automatic);
    ae_vector_init(&p->ia, 0, DT_INT,     _state, make_automatic);
    ae_vector_init(&p->ra, 0, DT_REAL,    _state, make_automatic);
    ae_vector_init(&p->ca, 0, DT_COMPLEX, _state, make_automatic);
}

void _rcommstate_init_copy(rcommstate* dst, rcommstate* src, ae_state *_state, ae_bool make_automatic)
{
    /* initial zero-filling */
    memset(&dst->ba, 0, sizeof(dst->ba));
    memset(&dst->ia, 0, sizeof(dst->ia));
    memset(&dst->ra, 0, sizeof(dst->ra));
    memset(&dst->ca, 0, sizeof(dst->ca));
    
    /* initialization */
    ae_vector_init_copy(&dst->ba, &src->ba, _state, make_automatic);
    ae_vector_init_copy(&dst->ia, &src->ia, _state, make_automatic);
    ae_vector_init_copy(&dst->ra, &src->ra, _state, make_automatic);
    ae_vector_init_copy(&dst->ca, &src->ca, _state, make_automatic);
    dst->stage = src->stage;
}

void _rcommstate_clear(rcommstate* p)
{
    ae_vector_clear(&p->ba);
    ae_vector_clear(&p->ia);
    ae_vector_clear(&p->ra);
    ae_vector_clear(&p->ca);
}

void _rcommstate_destroy(rcommstate* p)
{
    _rcommstate_clear(p);
}


}

/////////////////////////////////////////////////////////////////////////
//
// THIS SECTION CONTAINS C++ RELATED FUNCTIONALITY
//
/////////////////////////////////////////////////////////////////////////
/********************************************************************
Internal forwards
********************************************************************/
namespace alglib
{
    double get_aenv_nan();
    double get_aenv_posinf();
    double get_aenv_neginf();
    ae_int_t my_stricmp(const char *s1, const char *s2);
    char* filter_spaces(const char *s);
    void str_vector_create(const char *src, bool match_head_only, std::vector<const char*> *p_vec);
    void str_matrix_create(const char *src, std::vector< std::vector<const char*> > *p_mat);
    
    ae_bool parse_bool_delim(const char *s, const char *delim);
    ae_int_t parse_int_delim(const char *s, const char *delim);
    bool _parse_real_delim(const char *s, const char *delim, double *result, const char **new_s);
    double parse_real_delim(const char *s, const char *delim);
    alglib::complex parse_complex_delim(const char *s, const char *delim);

    std::string arraytostring(const bool *ptr, ae_int_t n);
    std::string arraytostring(const ae_int_t *ptr, ae_int_t n);
    std::string arraytostring(const double *ptr, ae_int_t n, int dps);
    std::string arraytostring(const alglib::complex *ptr, ae_int_t n, int dps);
}

/********************************************************************
Global and local constants/variables
********************************************************************/
const double alglib::machineepsilon = 5E-16;
const double alglib::maxrealnumber  = 1E300;
const double alglib::minrealnumber  = 1E-300;
const alglib::ae_int_t alglib::endianness =  alglib_impl::ae_get_endianness();
const double alglib::fp_nan         =  alglib::get_aenv_nan();
const double alglib::fp_posinf      =  alglib::get_aenv_posinf();
const double alglib::fp_neginf      =  alglib::get_aenv_neginf();
#if defined(AE_NO_EXCEPTIONS)
static const char *_alglib_last_error = NULL;
#endif
static const alglib_impl::ae_uint64_t _i64_xdefault  = 0x0;
static const alglib_impl::ae_uint64_t _i64_xserial   = _ALGLIB_FLG_THREADING_SERIAL;
static const alglib_impl::ae_uint64_t _i64_xparallel = _ALGLIB_FLG_THREADING_PARALLEL;
const alglib::xparams &alglib::xdefault = *((const alglib::xparams *)(&_i64_xdefault));
const alglib::xparams &alglib::serial   = *((const alglib::xparams *)(&_i64_xserial));
const alglib::xparams &alglib::parallel = *((const alglib::xparams *)(&_i64_xparallel));



/********************************************************************
Exception handling
********************************************************************/
#if !defined(AE_NO_EXCEPTIONS)
alglib::ap_error::ap_error()
{
}

alglib::ap_error::ap_error(const char *s)
{
    msg = s; 
}

void alglib::ap_error::make_assertion(bool bClause)
{
    if(!bClause) 
        _ALGLIB_CPP_EXCEPTION(""); 
}

void alglib::ap_error::make_assertion(bool bClause, const char *p_msg)
{ 
    if(!bClause) 
        _ALGLIB_CPP_EXCEPTION(p_msg); 
}
#else
void alglib::set_error_flag(const char *s)
{
    if( s==NULL )
        s = "ALGLIB: unknown error";
    _alglib_last_error = s;
}

bool alglib::get_error_flag(const char **p_msg)
{
    if( _alglib_last_error==NULL )
        return false;
    if( p_msg!=NULL )
        *p_msg = _alglib_last_error;
    return true;
}

void alglib::clear_error_flag()
{
    _alglib_last_error = NULL;
}
#endif

/********************************************************************
Complex number with double precision.
********************************************************************/
alglib::complex::complex():x(0.0),y(0.0)
{
}

alglib::complex::complex(const double &_x):x(_x),y(0.0)
{
}

alglib::complex::complex(const double &_x, const double &_y):x(_x),y(_y)
{
}

alglib::complex::complex(const alglib::complex &z):x(z.x),y(z.y)
{
}

alglib::complex& alglib::complex::operator= (const double& v)
{
    x = v; 
    y = 0.0; 
    return *this; 
}

alglib::complex& alglib::complex::operator+=(const double& v)
{
    x += v;
    return *this; 
}

alglib::complex& alglib::complex::operator-=(const double& v)
{
    x -= v;
    return *this;
}

alglib::complex& alglib::complex::operator*=(const double& v)
{
    x *= v;
    y *= v;
    return *this; 
}

alglib::complex& alglib::complex::operator/=(const double& v)
{
    x /= v;
    y /= v;
    return *this;
}

alglib::complex& alglib::complex::operator= (const alglib::complex& z)
{
    x = z.x;
    y = z.y;
    return *this;
}

alglib::complex& alglib::complex::operator+=(const alglib::complex& z)
{
    x += z.x;
    y += z.y;
    return *this;
}

alglib::complex& alglib::complex::operator-=(const alglib::complex& z)
{
    x -= z.x;
    y -= z.y;
    return *this;
}

alglib::complex& alglib::complex::operator*=(const alglib::complex& z)
{
    double t = x*z.x-y*z.y;
    y = x*z.y+y*z.x;
    x = t; 
    return *this;
}

alglib::complex& alglib::complex::operator/=(const alglib::complex& z)
{
    alglib::complex result;
    double e;
    double f;
    if( fabs(z.y)<fabs(z.x) )
    {
        e = z.y/z.x;
        f = z.x+z.y*e;
        result.x = (x+y*e)/f;
        result.y = (y-x*e)/f;
    }
    else
    {
        e = z.x/z.y;
        f = z.y+z.x*e;
        result.x = (y+x*e)/f;
        result.y = (-x+y*e)/f;
    }
    *this = result;
    return *this;
}

alglib_impl::ae_complex* alglib::complex::c_ptr()
{
    return (alglib_impl::ae_complex*)this;
}

const alglib_impl::ae_complex* alglib::complex::c_ptr() const
{
    return (const alglib_impl::ae_complex*)this;
}
    
#if !defined(AE_NO_EXCEPTIONS)
std::string alglib::complex::tostring(int _dps) const
{
    char mask[32];
    char buf_x[32];
    char buf_y[32];
    char buf_zero[32];
    int dps = _dps>=0 ? _dps : -_dps;
    if( dps<=0 || dps>=20 )
        _ALGLIB_CPP_EXCEPTION("complex::tostring(): incorrect dps");

    // handle IEEE special quantities
    if( fp_isnan(x) || fp_isnan(y) )
        return "NAN";
    if( fp_isinf(x) || fp_isinf(y) )
        return "INF";

    // generate mask
    if( sprintf(mask, "%%.%d%s", dps, _dps>=0 ? "f" : "e")>=(int)sizeof(mask) )
        _ALGLIB_CPP_EXCEPTION("complex::tostring(): buffer overflow");

    // print |x|, |y| and zero with same mask and compare
    if( sprintf(buf_x, mask, (double)(fabs(x)))>=(int)sizeof(buf_x) )
        _ALGLIB_CPP_EXCEPTION("complex::tostring(): buffer overflow");
    if( sprintf(buf_y, mask, (double)(fabs(y)))>=(int)sizeof(buf_y) )
        _ALGLIB_CPP_EXCEPTION("complex::tostring(): buffer overflow");
    if( sprintf(buf_zero, mask, (double)0)>=(int)sizeof(buf_zero) )
        _ALGLIB_CPP_EXCEPTION("complex::tostring(): buffer overflow");

    // different zero/nonzero patterns
    if( strcmp(buf_x,buf_zero)!=0 && strcmp(buf_y,buf_zero)!=0 )
        return std::string(x>0 ? "" : "-")+buf_x+(y>0 ? "+" : "-")+buf_y+"i";
    if( strcmp(buf_x,buf_zero)!=0 && strcmp(buf_y,buf_zero)==0 )
        return std::string(x>0 ? "" : "-")+buf_x;
    if( strcmp(buf_x,buf_zero)==0 && strcmp(buf_y,buf_zero)!=0 )
        return std::string(y>0 ? "" : "-")+buf_y+"i";
    return std::string("0");
}
#endif

bool alglib::operator==(const alglib::complex& lhs, const alglib::complex& rhs)
{
    volatile double x1 = lhs.x;
    volatile double x2 = rhs.x;
    volatile double y1 = lhs.y;
    volatile double y2 = rhs.y;
    return x1==x2 && y1==y2;
}

bool alglib::operator!=(const alglib::complex& lhs, const alglib::complex& rhs)
{ return !(lhs==rhs); }

const alglib::complex alglib::operator+(const alglib::complex& lhs)
{ return lhs; }

const alglib::complex alglib::operator-(const alglib::complex& lhs)
{ return alglib::complex(-lhs.x, -lhs.y); }

const alglib::complex alglib::operator+(const alglib::complex& lhs, const alglib::complex& rhs)
{ alglib::complex r = lhs; r += rhs; return r; }

const alglib::complex alglib::operator+(const alglib::complex& lhs, const double& rhs)
{ alglib::complex r = lhs; r += rhs; return r; }

const alglib::complex alglib::operator+(const double& lhs, const alglib::complex& rhs)
{ alglib::complex r = rhs; r += lhs; return r; }

const alglib::complex alglib::operator-(const alglib::complex& lhs, const alglib::complex& rhs)
{ alglib::complex r = lhs; r -= rhs; return r; }

const alglib::complex alglib::operator-(const alglib::complex& lhs, const double& rhs)
{ alglib::complex r = lhs; r -= rhs; return r; }

const alglib::complex alglib::operator-(const double& lhs, const alglib::complex& rhs)
{ alglib::complex r = lhs; r -= rhs; return r; }

const alglib::complex alglib::operator*(const alglib::complex& lhs, const alglib::complex& rhs)
{ return alglib::complex(lhs.x*rhs.x - lhs.y*rhs.y,  lhs.x*rhs.y + lhs.y*rhs.x); }

const alglib::complex alglib::operator*(const alglib::complex& lhs, const double& rhs)
{ return alglib::complex(lhs.x*rhs,  lhs.y*rhs); }

const alglib::complex alglib::operator*(const double& lhs, const alglib::complex& rhs)
{ return alglib::complex(lhs*rhs.x,  lhs*rhs.y); }

const alglib::complex alglib::operator/(const alglib::complex& lhs, const alglib::complex& rhs)
{
    alglib::complex result;
    double e;
    double f;
    if( fabs(rhs.y)<fabs(rhs.x) )
    {
        e = rhs.y/rhs.x;
        f = rhs.x+rhs.y*e;
        result.x = (lhs.x+lhs.y*e)/f;
        result.y = (lhs.y-lhs.x*e)/f;
    }
    else
    {
        e = rhs.x/rhs.y;
        f = rhs.y+rhs.x*e;
        result.x = (lhs.y+lhs.x*e)/f;
        result.y = (-lhs.x+lhs.y*e)/f;
    }
    return result;
}

const alglib::complex alglib::operator/(const double& lhs, const alglib::complex& rhs)
{
    alglib::complex result;
    double e;
    double f;
    if( fabs(rhs.y)<fabs(rhs.x) )
    {
        e = rhs.y/rhs.x;
        f = rhs.x+rhs.y*e;
        result.x = lhs/f;
        result.y = -lhs*e/f;
    }
    else
    {
        e = rhs.x/rhs.y;
        f = rhs.y+rhs.x*e;
        result.x = lhs*e/f;
        result.y = -lhs/f;
    }
    return result;
}

const alglib::complex alglib::operator/(const alglib::complex& lhs, const double& rhs)
{ return alglib::complex(lhs.x/rhs, lhs.y/rhs); }

double alglib::abscomplex(const alglib::complex &z)
{
    double w;
    double xabs;
    double yabs;
    double v;

    xabs = fabs(z.x);
    yabs = fabs(z.y);
    w = xabs>yabs ? xabs : yabs;
    v = xabs<yabs ? xabs : yabs; 
    if( v==0 )
        return w;
    else
    {
        double t = v/w;
        return w*sqrt(1+t*t);
    }
}

alglib::complex alglib::conj(const alglib::complex &z)
{ return alglib::complex(z.x, -z.y); }

alglib::complex alglib::csqr(const alglib::complex &z)
{ return alglib::complex(z.x*z.x-z.y*z.y, 2*z.x*z.y); }

void alglib::setnworkers(alglib::ae_int_t nworkers)
{
#ifdef AE_HPC
    alglib_impl::ae_set_cores_to_use(nworkers);
#endif
}

void alglib::setglobalthreading(const alglib::xparams settings)
{
#ifdef AE_HPC
    alglib_impl::ae_set_global_threading(settings.flags);
#endif
}

alglib::ae_int_t alglib::getnworkers()
{
#ifdef AE_HPC
    return alglib_impl::ae_get_cores_to_use();
#else
    return 1;
#endif
}

alglib::ae_int_t alglib::_ae_cores_count()
{
#ifdef AE_HPC
    return alglib_impl::ae_cores_count();
#else
    return 1;
#endif
}

void alglib::_ae_set_global_threading(alglib_impl::ae_uint64_t flg_value)
{
#ifdef AE_HPC
    alglib_impl::ae_set_global_threading(flg_value);
#endif
}

alglib_impl::ae_uint64_t alglib::_ae_get_global_threading()
{
#ifdef AE_HPC
    return alglib_impl::ae_get_global_threading();
#else
    return _ALGLIB_FLG_THREADING_SERIAL;
#endif
}


/********************************************************************
Level 1 BLAS functions
********************************************************************/
double alglib::vdotproduct(const double *v0, ae_int_t stride0, const double *v1, ae_int_t stride1, ae_int_t n)
{
    double result = 0;
    ae_int_t i;
    if( stride0!=1 || stride1!=1 )
    {
        //
        // slow general code
        //
        for(i=0; i<n; i++, v0+=stride0, v1+=stride1)
            result += (*v0)*(*v1);
    }
    else
    {
        //
        // optimized code for stride=1
        //
        ae_int_t n4 = n/4;
        ae_int_t nleft = n%4;
        for(i=0; i<n4; i++, v0+=4, v1+=4)
            result += v0[0]*v1[0]+v0[1]*v1[1]+v0[2]*v1[2]+v0[3]*v1[3];
        for(i=0; i<nleft; i++, v0++, v1++)
            result += v0[0]*v1[0];
    }
    return result;
}

double alglib::vdotproduct(const double *v1, const double *v2, ae_int_t N)
{
    return vdotproduct(v1, 1, v2, 1, N);
}

alglib::complex alglib::vdotproduct(const alglib::complex *v0, ae_int_t stride0, const char *conj0, const alglib::complex *v1, ae_int_t stride1, const char *conj1, ae_int_t n)
{
    double rx = 0, ry = 0;
    ae_int_t i;
    bool bconj0 = !((conj0[0]=='N') || (conj0[0]=='n'));
    bool bconj1 = !((conj1[0]=='N') || (conj1[0]=='n'));
    if( bconj0 && bconj1 )
    {
        double v0x, v0y, v1x, v1y;
        for(i=0; i<n; i++, v0+=stride0, v1+=stride1)
        {
            v0x = v0->x;
            v0y = -v0->y;
            v1x = v1->x;
            v1y = -v1->y;
            rx += v0x*v1x-v0y*v1y;
            ry += v0x*v1y+v0y*v1x;
        }
    }
    if( !bconj0 && bconj1 )
    {
        double v0x, v0y, v1x, v1y;
        for(i=0; i<n; i++, v0+=stride0, v1+=stride1)
        {
            v0x = v0->x;
            v0y = v0->y;
            v1x = v1->x;
            v1y = -v1->y;
            rx += v0x*v1x-v0y*v1y;
            ry += v0x*v1y+v0y*v1x;
        }
    }
    if( bconj0 && !bconj1 )
    {
        double v0x, v0y, v1x, v1y;
        for(i=0; i<n; i++, v0+=stride0, v1+=stride1)
        {
            v0x = v0->x;
            v0y = -v0->y;
            v1x = v1->x;
            v1y = v1->y;
            rx += v0x*v1x-v0y*v1y;
            ry += v0x*v1y+v0y*v1x;
        }
    }
    if( !bconj0 && !bconj1 )
    {
        double v0x, v0y, v1x, v1y;
        for(i=0; i<n; i++, v0+=stride0, v1+=stride1)
        {
            v0x = v0->x;
            v0y = v0->y;
            v1x = v1->x;
            v1y = v1->y;
            rx += v0x*v1x-v0y*v1y;
            ry += v0x*v1y+v0y*v1x;
        }
    }
    return alglib::complex(rx,ry);
}

alglib::complex alglib::vdotproduct(const alglib::complex *v1, const alglib::complex *v2, ae_int_t N)
{
    return vdotproduct(v1, 1, "N", v2, 1, "N", N);
}

void alglib::vmove(double *vdst, ae_int_t stride_dst, const double* vsrc,  ae_int_t stride_src, ae_int_t n)
{
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        //
        // general unoptimized case
        //
        for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            *vdst = *vsrc;
    }
    else
    {
        //
        // optimized case
        //
        ae_int_t n2 = n/2;
        for(i=0; i<n2; i++, vdst+=2, vsrc+=2)
        {
            vdst[0] = vsrc[0];
            vdst[1] = vsrc[1];
        }
        if( n%2!=0 )
            vdst[0] = vsrc[0];
    }
}

void alglib::vmove(double *vdst, const double* vsrc, ae_int_t N)
{
    vmove(vdst, 1, vsrc, 1, N);
}

void alglib::vmove(alglib::complex *vdst, ae_int_t stride_dst, const alglib::complex* vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n)
{
    bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        //
        // general unoptimized case
        //
        if( bconj )
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x =  vsrc->x;
                vdst->y = -vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
                *vdst = *vsrc;
        }
    }
    else
    {
        //
        // optimized case
        //
        if( bconj )
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x =  vsrc->x;
                vdst->y = -vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
                *vdst = *vsrc;
        }
    }
}

void alglib::vmove(alglib::complex *vdst, const alglib::complex* vsrc, ae_int_t N)
{
    vmove(vdst, 1, vsrc, 1, "N", N);
}

void alglib::vmoveneg(double *vdst,  ae_int_t stride_dst, const double* vsrc,  ae_int_t stride_src, ae_int_t n)
{
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        //
        // general unoptimized case
        //
        for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            *vdst = -*vsrc;
    }
    else
    {
        //
        // optimized case
        //
        ae_int_t n2 = n/2;
        for(i=0; i<n2; i++, vdst+=2, vsrc+=2)
        {
            vdst[0] = -vsrc[0];
            vdst[1] = -vsrc[1];
        }
        if( n%2!=0 )
            vdst[0] = -vsrc[0];
    }
}

void alglib::vmoveneg(double *vdst, const double *vsrc, ae_int_t N)
{
    vmoveneg(vdst, 1, vsrc, 1, N);
}

void alglib::vmoveneg(alglib::complex *vdst, ae_int_t stride_dst, const alglib::complex* vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n)
{
    bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        //
        // general unoptimized case
        //
        if( bconj )
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x = -vsrc->x;
                vdst->y =  vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x = -vsrc->x;
                vdst->y = -vsrc->y;
            }
        }
    }
    else
    {
        //
        // optimized case
        //
        if( bconj )
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x = -vsrc->x;
                vdst->y =  vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x = -vsrc->x;
                vdst->y = -vsrc->y;
            }
        }
    }
}

void alglib::vmoveneg(alglib::complex *vdst, const alglib::complex *vsrc, ae_int_t N)
{
    vmoveneg(vdst, 1, vsrc, 1, "N", N);
}

void alglib::vmove(double *vdst,  ae_int_t stride_dst, const double* vsrc,  ae_int_t stride_src, ae_int_t n, double alpha)
{
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        //
        // general unoptimized case
        //
        for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            *vdst = alpha*(*vsrc);
    }
    else
    {
        //
        // optimized case
        //
        ae_int_t n2 = n/2;
        for(i=0; i<n2; i++, vdst+=2, vsrc+=2)
        {
            vdst[0] = alpha*vsrc[0];
            vdst[1] = alpha*vsrc[1];
        }
        if( n%2!=0 )
            vdst[0] = alpha*vsrc[0];
    }
}

void alglib::vmove(double *vdst, const double *vsrc, ae_int_t N, double alpha)
{
    vmove(vdst, 1, vsrc, 1, N, alpha);
}

void alglib::vmove(alglib::complex *vdst, ae_int_t stride_dst, const alglib::complex* vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n, double alpha)
{
    bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        //
        // general unoptimized case
        //
        if( bconj )
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x =  alpha*vsrc->x;
                vdst->y = -alpha*vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x = alpha*vsrc->x;
                vdst->y = alpha*vsrc->y;
            }
        }
    }
    else
    {
        //
        // optimized case
        //
        if( bconj )
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x =  alpha*vsrc->x;
                vdst->y = -alpha*vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x = alpha*vsrc->x;
                vdst->y = alpha*vsrc->y;
            }
        }
    }
}

void alglib::vmove(alglib::complex *vdst, const alglib::complex *vsrc, ae_int_t N, double alpha)
{
    vmove(vdst, 1, vsrc, 1, "N", N, alpha);
}

void alglib::vmove(alglib::complex *vdst, ae_int_t stride_dst, const alglib::complex* vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n, alglib::complex alpha)
{
    bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        //
        // general unoptimized case
        //
        if( bconj )
        {
            double ax = alpha.x, ay = alpha.y;
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x =  ax*vsrc->x+ay*vsrc->y;
                vdst->y = -ax*vsrc->y+ay*vsrc->x;
            }
        }
        else
        {
            double ax = alpha.x, ay = alpha.y;
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x = ax*vsrc->x-ay*vsrc->y;
                vdst->y = ax*vsrc->y+ay*vsrc->x;
            }
        }
    }
    else
    {
        //
        // optimized case
        //
        if( bconj )
        {
            double ax = alpha.x, ay = alpha.y;
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x =  ax*vsrc->x+ay*vsrc->y;
                vdst->y = -ax*vsrc->y+ay*vsrc->x;
            }
        }
        else
        {
            double ax = alpha.x, ay = alpha.y;
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x = ax*vsrc->x-ay*vsrc->y;
                vdst->y = ax*vsrc->y+ay*vsrc->x;
            }
        }
    }
}

void alglib::vmove(alglib::complex *vdst, const alglib::complex *vsrc, ae_int_t N, alglib::complex alpha)
{
    vmove(vdst, 1, vsrc, 1, "N", N, alpha);
}

void alglib::vadd(double *vdst,  ae_int_t stride_dst, const double *vsrc,  ae_int_t stride_src, ae_int_t n)
{
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        //
        // general unoptimized case
        //
        for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            *vdst += *vsrc;
    }
    else
    {
        //
        // optimized case
        //
        ae_int_t n2 = n/2;
        for(i=0; i<n2; i++, vdst+=2, vsrc+=2)
        {
            vdst[0] += vsrc[0];
            vdst[1] += vsrc[1];
        }
        if( n%2!=0 )
            vdst[0] += vsrc[0];
    }
}

void alglib::vadd(double *vdst, const double *vsrc, ae_int_t N)
{
    vadd(vdst, 1, vsrc, 1, N);
}

void alglib::vadd(alglib::complex *vdst, ae_int_t stride_dst, const alglib::complex *vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n)
{
    bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        //
        // general unoptimized case
        //
        if( bconj )
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x += vsrc->x;
                vdst->y -= vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x += vsrc->x;
                vdst->y += vsrc->y;
            }
        }
    }
    else
    {
        //
        // optimized case
        //
        if( bconj )
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x += vsrc->x;
                vdst->y -= vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x += vsrc->x;
                vdst->y += vsrc->y;
            }
        }
    }
}

void alglib::vadd(alglib::complex *vdst, const alglib::complex *vsrc, ae_int_t N)
{
    vadd(vdst, 1, vsrc, 1, "N", N);
}

void alglib::vadd(double *vdst,  ae_int_t stride_dst, const double *vsrc,  ae_int_t stride_src, ae_int_t n, double alpha)
{
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        //
        // general unoptimized case
        //
        for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            *vdst += alpha*(*vsrc);
    }
    else
    {
        //
        // optimized case
        //
        ae_int_t n2 = n/2;
        for(i=0; i<n2; i++, vdst+=2, vsrc+=2)
        {
            vdst[0] += alpha*vsrc[0];
            vdst[1] += alpha*vsrc[1];
        }
        if( n%2!=0 )
            vdst[0] += alpha*vsrc[0];
    }
}

void alglib::vadd(double *vdst, const double *vsrc, ae_int_t N, double alpha)
{
    vadd(vdst, 1, vsrc, 1, N, alpha);
}

void alglib::vadd(alglib::complex *vdst, ae_int_t stride_dst, const alglib::complex *vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n, double alpha)
{
    bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        //
        // general unoptimized case
        //
        if( bconj )
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x += alpha*vsrc->x;
                vdst->y -= alpha*vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x += alpha*vsrc->x;
                vdst->y += alpha*vsrc->y;
            }
        }
    }
    else
    {
        //
        // optimized case
        //
        if( bconj )
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x += alpha*vsrc->x;
                vdst->y -= alpha*vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x += alpha*vsrc->x;
                vdst->y += alpha*vsrc->y;
            }
        }
    }
}

void alglib::vadd(alglib::complex *vdst, const alglib::complex *vsrc, ae_int_t N, double alpha)
{
    vadd(vdst, 1, vsrc, 1, "N", N, alpha);
}

void alglib::vadd(alglib::complex *vdst, ae_int_t stride_dst, const alglib::complex *vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n, alglib::complex alpha)
{
    bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        //
        // general unoptimized case
        //
        double ax = alpha.x, ay = alpha.y;
        if( bconj )
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x += ax*vsrc->x+ay*vsrc->y;
                vdst->y -= ax*vsrc->y-ay*vsrc->x;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x += ax*vsrc->x-ay*vsrc->y;
                vdst->y += ax*vsrc->y+ay*vsrc->x;
            }
        }
    }
    else
    {
        //
        // optimized case
        //
        double ax = alpha.x, ay = alpha.y;
        if( bconj )
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x += ax*vsrc->x+ay*vsrc->y;
                vdst->y -= ax*vsrc->y-ay*vsrc->x;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x += ax*vsrc->x-ay*vsrc->y;
                vdst->y += ax*vsrc->y+ay*vsrc->x;
            }
        }
    }
}

void alglib::vadd(alglib::complex *vdst, const alglib::complex *vsrc, ae_int_t N, alglib::complex alpha)
{
    vadd(vdst, 1, vsrc, 1, "N", N, alpha);
}

void alglib::vsub(double *vdst,  ae_int_t stride_dst, const double *vsrc,  ae_int_t stride_src, ae_int_t n)
{
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        //
        // general unoptimized case
        //
        for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            *vdst -= *vsrc;
    }
    else
    {
        //
        // optimized case
        //
        ae_int_t n2 = n/2;
        for(i=0; i<n2; i++, vdst+=2, vsrc+=2)
        {
            vdst[0] -= vsrc[0];
            vdst[1] -= vsrc[1];
        }
        if( n%2!=0 )
            vdst[0] -= vsrc[0];
    }
}

void alglib::vsub(double *vdst, const double *vsrc, ae_int_t N)
{
    vsub(vdst, 1, vsrc, 1, N);
}

void alglib::vsub(alglib::complex *vdst, ae_int_t stride_dst, const alglib::complex *vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n)
{
    bool bconj = !((conj_src[0]=='N') || (conj_src[0]=='n'));
    ae_int_t i;
    if( stride_dst!=1 || stride_src!=1 )
    {
        //
        // general unoptimized case
        //
        if( bconj )
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x -= vsrc->x;
                vdst->y += vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst+=stride_dst, vsrc+=stride_src)
            {
                vdst->x -= vsrc->x;
                vdst->y -= vsrc->y;
            }
        }
    }
    else
    {
        //
        // optimized case
        //
        if( bconj )
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x -= vsrc->x;
                vdst->y += vsrc->y;
            }
        }
        else
        {
            for(i=0; i<n; i++, vdst++, vsrc++)
            {
                vdst->x -= vsrc->x;
                vdst->y -= vsrc->y;
            }
        }
    }
}

void alglib::vsub(alglib::complex *vdst, const alglib::complex *vsrc, ae_int_t N)
{
    vsub(vdst, 1, vsrc, 1, "N", N);
}

void alglib::vsub(double *vdst,  ae_int_t stride_dst, const double *vsrc,  ae_int_t stride_src, ae_int_t n, double alpha)
{
    vadd(vdst, stride_dst, vsrc, stride_src, n, -alpha);
}

void alglib::vsub(double *vdst, const double *vsrc, ae_int_t N, double alpha)
{
    vadd(vdst, 1, vsrc, 1, N, -alpha);
}

void alglib::vsub(alglib::complex *vdst, ae_int_t stride_dst, const alglib::complex *vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n, double alpha)
{
    vadd(vdst, stride_dst, vsrc, stride_src, conj_src, n, -alpha);
}

void alglib::vsub(alglib::complex *vdst, const alglib::complex *vsrc, ae_int_t n, double alpha)
{
    vadd(vdst, 1, vsrc, 1, "N", n, -alpha);
}

void alglib::vsub(alglib::complex *vdst, ae_int_t stride_dst, const alglib::complex *vsrc, ae_int_t stride_src, const char *conj_src, ae_int_t n, alglib::complex alpha)
{
    vadd(vdst, stride_dst, vsrc, stride_src, conj_src, n, -alpha);
}

void alglib::vsub(alglib::complex *vdst, const alglib::complex *vsrc, ae_int_t n, alglib::complex alpha)
{
    vadd(vdst, 1, vsrc, 1, "N", n, -alpha);
}
void alglib::vmul(double *vdst,  ae_int_t stride_dst, ae_int_t n, double alpha)
{
    ae_int_t i;
    if( stride_dst!=1 )
    {
        //
        // general unoptimized case
        //
        for(i=0; i<n; i++, vdst+=stride_dst)
            *vdst *= alpha;
    }
    else
    {
        //
        // optimized case
        //
        for(i=0; i<n; i++, vdst++)
            *vdst *= alpha;
    }
}

void alglib::vmul(double *vdst, ae_int_t N, double alpha)
{
    vmul(vdst, 1, N, alpha);
}

void alglib::vmul(alglib::complex *vdst, ae_int_t stride_dst, ae_int_t n, double alpha)
{
    ae_int_t i;
    if( stride_dst!=1 )
    {
        //
        // general unoptimized case
        //
        for(i=0; i<n; i++, vdst+=stride_dst)
        {
            vdst->x *= alpha;
            vdst->y *= alpha;
        }
    }
    else
    {
        //
        // optimized case
        //
        for(i=0; i<n; i++, vdst++)
        {
            vdst->x *= alpha;
            vdst->y *= alpha;
        }
    }
}

void alglib::vmul(alglib::complex *vdst, ae_int_t N, double alpha)
{
    vmul(vdst, 1, N, alpha);
}

void alglib::vmul(alglib::complex *vdst, ae_int_t stride_dst, ae_int_t n, alglib::complex alpha)
{
    ae_int_t i;
    if( stride_dst!=1 )
    {
        //
        // general unoptimized case
        //
        double ax = alpha.x, ay = alpha.y;
        for(i=0; i<n; i++, vdst+=stride_dst)
        {
            double  dstx = vdst->x, dsty = vdst->y;
            vdst->x = ax*dstx-ay*dsty;
            vdst->y = ax*dsty+ay*dstx;
        }
    }
    else
    {
        //
        // optimized case
        //
        double ax = alpha.x, ay = alpha.y;
        for(i=0; i<n; i++, vdst++)
        {
            double  dstx = vdst->x, dsty = vdst->y;
            vdst->x = ax*dstx-ay*dsty;
            vdst->y = ax*dsty+ay*dstx;
        }
    }
}

void alglib::vmul(alglib::complex *vdst, ae_int_t N, alglib::complex alpha)
{
    vmul(vdst, 1, N, alpha);
}

alglib::ae_int_t alglib::vlen(ae_int_t n1, ae_int_t n2)
{
    return n2-n1+1;
}


/********************************************************************
Matrices and vectors
********************************************************************/
alglib::ae_vector_wrapper::ae_vector_wrapper(alglib_impl::ae_vector *e_ptr, alglib_impl::ae_datatype datatype)
{
    if( e_ptr==NULL || e_ptr->datatype!=datatype )
    {
        const char *msg = "ALGLIB: ae_vector_wrapper datatype check failed";
#if !defined(AE_NO_EXCEPTIONS)
        _ALGLIB_CPP_EXCEPTION(msg);
#else
        ptr = NULL;
        is_frozen_proxy = false;
        _ALGLIB_SET_ERROR_FLAG(msg);
        return;
#endif
    }
    ptr = e_ptr;
    is_frozen_proxy = true;
}

alglib::ae_vector_wrapper::ae_vector_wrapper(alglib_impl::ae_datatype datatype)
{
    jmp_buf _break_jump;
    alglib_impl::ae_state _state;
    
    alglib_impl::ae_state_init(&_state);
    if( setjmp(_break_jump) )
    {
#if !defined(AE_NO_EXCEPTIONS)
        _ALGLIB_CPP_EXCEPTION(_state.error_msg);
#else
        ptr = NULL;
        is_frozen_proxy = false;
        _ALGLIB_SET_ERROR_FLAG(_state.error_msg);
        return;
#endif
    }
    alglib_impl::ae_state_set_break_jump(&_state, &_break_jump);
    ptr = &inner_vec;
    is_frozen_proxy = false;
    memset(ptr, 0, sizeof(*ptr));
    ae_vector_init(ptr, 0, datatype, &_state, ae_false);
    ae_state_clear(&_state);
}

alglib::ae_vector_wrapper::ae_vector_wrapper(const ae_vector_wrapper &rhs, alglib_impl::ae_datatype datatype)
{
    jmp_buf _break_jump;
    alglib_impl::ae_state _state;
    
    alglib_impl::ae_state_init(&_state);
    if( setjmp(_break_jump) )
    {
#if !defined(AE_NO_EXCEPTIONS)
        _ALGLIB_CPP_EXCEPTION(_state.error_msg);
#else
        ptr = NULL;
        is_frozen_proxy = false;
        _ALGLIB_SET_ERROR_FLAG(_state.error_msg);
        return;
#endif
    }
    alglib_impl::ae_state_set_break_jump(&_state, &_break_jump);
    alglib_impl::ae_assert(rhs.ptr!=NULL, "ALGLIB: ae_vector_wrapper source is not initialized", &_state);
    alglib_impl::ae_assert(rhs.ptr->datatype==datatype, "ALGLIB: ae_vector_wrapper datatype check failed", &_state);
    ptr = &inner_vec;
    is_frozen_proxy = false;
    memset(ptr, 0, sizeof(*ptr));
    ae_vector_init_copy(ptr, rhs.ptr, &_state, ae_false);
    ae_state_clear(&_state);
}

alglib::ae_vector_wrapper::~ae_vector_wrapper()
{
    if( ptr==&inner_vec )
        ae_vector_clear(ptr);
}

void alglib::ae_vector_wrapper::setlength(ae_int_t iLen)
{   
    jmp_buf _break_jump;
    alglib_impl::ae_state _state;
    alglib_impl::ae_state_init(&_state);
    if( setjmp(_break_jump) )
    {
#if !defined(AE_NO_EXCEPTIONS)
        _ALGLIB_CPP_EXCEPTION(_state.error_msg);
#else
        _ALGLIB_SET_ERROR_FLAG(_state.error_msg);
        return;
#endif
    }
    alglib_impl::ae_state_set_break_jump(&_state, &_break_jump);
    alglib_impl::ae_assert(ptr!=NULL, "ALGLIB: setlength() error, ptr==NULL (array was not correctly initialized)", &_state);
    alglib_impl::ae_assert(!is_frozen_proxy, "ALGLIB: setlength() error, ptr is frozen proxy array", &_state);
    alglib_impl::ae_vector_set_length(ptr, iLen, &_state);
    alglib_impl::ae_state_clear(&_state);
}

alglib::ae_int_t alglib::ae_vector_wrapper::length() const
{
    if( ptr==NULL )
        return 0;
    return ptr->cnt;
}

void alglib::ae_vector_wrapper::attach_to(alglib_impl::x_vector *new_ptr, alglib_impl::ae_state *_state)
{
    if( ptr==&inner_vec )
        ae_vector_clear(ptr);
    ptr = &inner_vec;
    memset(ptr, 0, sizeof(*ptr));
    ae_vector_init_attach_to_x(ptr, new_ptr, _state, ae_false);
    is_frozen_proxy = true;
}

const alglib::ae_vector_wrapper& alglib::ae_vector_wrapper::assign(const alglib::ae_vector_wrapper &rhs)
{
    jmp_buf _break_jump;
    alglib_impl::ae_state _state;
    if( this==&rhs )
        return *this;
    alglib_impl::ae_state_init(&_state);
    if( setjmp(_break_jump) )
    {
#if !defined(AE_NO_EXCEPTIONS)
        _ALGLIB_CPP_EXCEPTION(_state.error_msg);
#else
        _ALGLIB_SET_ERROR_FLAG(_state.error_msg);
        return *this;
#endif
    }
    alglib_impl::ae_state_set_break_jump(&_state, &_break_jump);
    ae_assert(ptr!=NULL, "ALGLIB: incorrect assignment (uninitialized destination)", &_state);
    ae_assert(rhs.ptr!=NULL, "ALGLIB: incorrect assignment (uninitialized source)", &_state);
    ae_assert(rhs.ptr->datatype==ptr->datatype, "ALGLIB: incorrect assignment to array (types do not match)", &_state);
    if( is_frozen_proxy )
        ae_assert(rhs.ptr->cnt==ptr->cnt, "ALGLIB: incorrect assignment to proxy array (sizes do not match)", &_state);
    if( rhs.ptr->cnt!=ptr->cnt )
        ae_vector_set_length(ptr, rhs.ptr->cnt, &_state);
    memcpy(ptr->ptr.p_ptr, rhs.ptr->ptr.p_ptr, ptr->cnt*alglib_impl::ae_sizeof(ptr->datatype));
    alglib_impl::ae_state_clear(&_state);
    return *this;
}

const alglib_impl::ae_vector* alglib::ae_vector_wrapper::c_ptr() const
{
    return ptr;
}

alglib_impl::ae_vector* alglib::ae_vector_wrapper::c_ptr()
{
    return ptr;
}

#if !defined(AE_NO_EXCEPTIONS)
alglib::ae_vector_wrapper::ae_vector_wrapper(const char *s, alglib_impl::ae_datatype datatype)
{
    std::vector<const char*> svec;
    size_t i;
    char *p = filter_spaces(s);
    if( p==NULL )
        _ALGLIB_CPP_EXCEPTION("ALGLIB: allocation error");
    try
    {
        str_vector_create(p, true, &svec);
        {
            jmp_buf _break_jump;
            alglib_impl::ae_state _state;
            alglib_impl::ae_state_init(&_state);
            if( setjmp(_break_jump) )
                _ALGLIB_CPP_EXCEPTION(_state.error_msg);
            alglib_impl::ae_state_set_break_jump(&_state, &_break_jump);
            ptr = &inner_vec;
            is_frozen_proxy = false;
            memset(ptr, 0, sizeof(*ptr));
            ae_vector_init(ptr, (ae_int_t)(svec.size()), datatype, &_state, ae_false);
            ae_state_clear(&_state);
        }
        for(i=0; i<svec.size(); i++)
        {
            if( datatype==alglib_impl::DT_BOOL )
                ptr->ptr.p_bool[i]    = parse_bool_delim(svec[i],",]");
            if( datatype==alglib_impl::DT_INT )
                ptr->ptr.p_int[i]     = parse_int_delim(svec[i],",]");
            if( datatype==alglib_impl::DT_REAL )
                ptr->ptr.p_double[i]  = parse_real_delim(svec[i],",]");
            if( datatype==alglib_impl::DT_COMPLEX )
            {
                alglib::complex t = parse_complex_delim(svec[i],",]");
                ptr->ptr.p_complex[i].x = t.x;
                ptr->ptr.p_complex[i].y = t.y;
            }
        }
        alglib_impl::ae_free(p);
    }
    catch(...)
    {
        alglib_impl::ae_free(p);
        throw;
    }
}
#endif
    
alglib::boolean_1d_array::boolean_1d_array():ae_vector_wrapper(alglib_impl::DT_BOOL)
{
}

alglib::boolean_1d_array::boolean_1d_array(const alglib::boolean_1d_array &rhs):ae_vector_wrapper(rhs,alglib_impl::DT_BOOL)
{
}

alglib::boolean_1d_array::boolean_1d_array(alglib_impl::ae_vector *p):ae_vector_wrapper(p,alglib_impl::DT_BOOL)
{
}

const alglib::boolean_1d_array& alglib::boolean_1d_array::operator=(const alglib::boolean_1d_array &rhs)
{
    return static_cast<const alglib::boolean_1d_array&>(assign(rhs));
}

alglib::boolean_1d_array::~boolean_1d_array() 
{
}

const ae_bool& alglib::boolean_1d_array::operator()(ae_int_t i) const
{
    return ptr->ptr.p_bool[i];
}

ae_bool& alglib::boolean_1d_array::operator()(ae_int_t i)
{
    return ptr->ptr.p_bool[i];
}

const ae_bool& alglib::boolean_1d_array::operator[](ae_int_t i) const
{
    return ptr->ptr.p_bool[i];
}

ae_bool& alglib::boolean_1d_array::operator[](ae_int_t i)
{
    return ptr->ptr.p_bool[i];
}

void alglib::boolean_1d_array::setcontent(ae_int_t iLen, const bool *pContent )
{
    ae_int_t i;
    
    // setlength, with exception-free error handling fallback code
    setlength(iLen);
    if( ptr==NULL || ptr->cnt!=iLen )
        return;
    
    // copy
    for(i=0; i<iLen; i++)
        ptr->ptr.p_bool[i] = pContent[i];
}

ae_bool* alglib::boolean_1d_array::getcontent()
{
    return ptr->ptr.p_bool;
}

const ae_bool* alglib::boolean_1d_array::getcontent() const
{
    return ptr->ptr.p_bool;
}

#if !defined(AE_NO_EXCEPTIONS)
alglib::boolean_1d_array::boolean_1d_array(const char *s):ae_vector_wrapper(s, alglib_impl::DT_BOOL)
{
}

std::string alglib::boolean_1d_array::tostring() const 
{
    if( length()==0 )
        return "[]";
    return arraytostring(&(operator()(0)), length());
}
#endif

alglib::integer_1d_array::integer_1d_array():ae_vector_wrapper(alglib_impl::DT_INT)
{
}

alglib::integer_1d_array::integer_1d_array(alglib_impl::ae_vector *p):ae_vector_wrapper(p,alglib_impl::DT_INT)
{
}

alglib::integer_1d_array::integer_1d_array(const alglib::integer_1d_array &rhs):ae_vector_wrapper(rhs,alglib_impl::DT_INT)
{
}

const alglib::integer_1d_array& alglib::integer_1d_array::operator=(const alglib::integer_1d_array &rhs)
{
    return static_cast<const alglib::integer_1d_array&>(assign(rhs));
}

alglib::integer_1d_array::~integer_1d_array() 
{
}

const alglib::ae_int_t& alglib::integer_1d_array::operator()(ae_int_t i) const
{
    return ptr->ptr.p_int[i];
}

alglib::ae_int_t& alglib::integer_1d_array::operator()(ae_int_t i)
{
    return ptr->ptr.p_int[i];
}

const alglib::ae_int_t& alglib::integer_1d_array::operator[](ae_int_t i) const
{
    return ptr->ptr.p_int[i];
}

alglib::ae_int_t& alglib::integer_1d_array::operator[](ae_int_t i)
{
    return ptr->ptr.p_int[i];
}

void alglib::integer_1d_array::setcontent(ae_int_t iLen, const ae_int_t *pContent )
{
    ae_int_t i;
    
    // setlength(), handle possible exception-free errors
    setlength(iLen);
    if( ptr==NULL || ptr->cnt!=iLen )
        return;
    
    // copy
    for(i=0; i<iLen; i++)
        ptr->ptr.p_int[i] = pContent[i];
}

alglib::ae_int_t* alglib::integer_1d_array::getcontent()
{
    return ptr->ptr.p_int;
}

const alglib::ae_int_t* alglib::integer_1d_array::getcontent() const
{
    return ptr->ptr.p_int;
}

#if !defined(AE_NO_EXCEPTIONS)
alglib::integer_1d_array::integer_1d_array(const char *s):ae_vector_wrapper(s, alglib_impl::DT_INT)
{
}

std::string alglib::integer_1d_array::tostring() const 
{
    if( length()==0 )
        return "[]";
    return arraytostring(&operator()(0), length());
}
#endif

alglib::real_1d_array::real_1d_array():ae_vector_wrapper(alglib_impl::DT_REAL)
{
}

alglib::real_1d_array::real_1d_array(alglib_impl::ae_vector *p):ae_vector_wrapper(p,alglib_impl::DT_REAL)
{
}

alglib::real_1d_array::real_1d_array(const alglib::real_1d_array &rhs):ae_vector_wrapper(rhs,alglib_impl::DT_REAL)
{
}

const alglib::real_1d_array& alglib::real_1d_array::operator=(const alglib::real_1d_array &rhs)
{
    return static_cast<const alglib::real_1d_array&>(assign(rhs));
}

alglib::real_1d_array::~real_1d_array() 
{
}

const double& alglib::real_1d_array::operator()(ae_int_t i) const
{
    return ptr->ptr.p_double[i];
}

double& alglib::real_1d_array::operator()(ae_int_t i)
{
    return ptr->ptr.p_double[i];
}

const double& alglib::real_1d_array::operator[](ae_int_t i) const
{
    return ptr->ptr.p_double[i];
}

double& alglib::real_1d_array::operator[](ae_int_t i)
{
    return ptr->ptr.p_double[i];
}

void alglib::real_1d_array::setcontent(ae_int_t iLen, const double *pContent )
{
    ae_int_t i;
    
    // setlength(), handle possible exception-free errors
    setlength(iLen);
    if( ptr==NULL || ptr->cnt!=iLen )
        return;
    
    // copy
    for(i=0; i<iLen; i++)
        ptr->ptr.p_double[i] = pContent[i];
}

void alglib::real_1d_array::attach_to_ptr(ae_int_t iLen, double *pContent ) // TODO: convert to constructor!!!!!!!
{
    alglib_impl::x_vector x;
    jmp_buf _break_jump;
    alglib_impl::ae_state _state;
    
    alglib_impl::ae_state_init(&_state);
    if( setjmp(_break_jump) )
    {
#if !defined(AE_NO_EXCEPTIONS)
        _ALGLIB_CPP_EXCEPTION(_state.error_msg);
#else
        ptr = NULL;
        is_frozen_proxy = false;
        _ALGLIB_SET_ERROR_FLAG(_state.error_msg);
        return;
#endif
    }
    alglib_impl::ae_state_set_break_jump(&_state, &_break_jump);
    alglib_impl::ae_assert(!is_frozen_proxy, "ALGLIB: unable to attach proxy object to something else", &_state);
    alglib_impl::ae_assert(iLen>0, "ALGLIB: non-positive length for attach_to_ptr()", &_state);
    x.cnt = iLen;
    x.datatype = alglib_impl::DT_REAL;
    x.owner = alglib_impl::OWN_CALLER;
    x.last_action = alglib_impl::ACT_UNCHANGED;
    x.x_ptr.p_ptr = pContent;
    attach_to(&x, &_state);
    ae_state_clear(&_state);
}

double* alglib::real_1d_array::getcontent()
{
    return ptr->ptr.p_double;
}

const double* alglib::real_1d_array::getcontent() const
{
    return ptr->ptr.p_double;
}

#if !defined(AE_NO_EXCEPTIONS)
alglib::real_1d_array::real_1d_array(const char *s):ae_vector_wrapper(s, alglib_impl::DT_REAL)
{
}

std::string alglib::real_1d_array::tostring(int dps) const 
{
    if( length()==0 )
        return "[]";
    return arraytostring(&operator()(0), length(), dps);
}
#endif

alglib::complex_1d_array::complex_1d_array():ae_vector_wrapper(alglib_impl::DT_COMPLEX)
{
}

alglib::complex_1d_array::complex_1d_array(alglib_impl::ae_vector *p):ae_vector_wrapper(p,alglib_impl::DT_COMPLEX)
{
}

alglib::complex_1d_array::complex_1d_array(const alglib::complex_1d_array &rhs):ae_vector_wrapper(rhs,alglib_impl::DT_COMPLEX)
{
}

const alglib::complex_1d_array& alglib::complex_1d_array::operator=(const alglib::complex_1d_array &rhs)
{
    return static_cast<const alglib::complex_1d_array&>(assign(rhs));
}

alglib::complex_1d_array::~complex_1d_array() 
{
}

const alglib::complex& alglib::complex_1d_array::operator()(ae_int_t i) const
{
    return *((const alglib::complex*)(ptr->ptr.p_complex+i));
}

alglib::complex& alglib::complex_1d_array::operator()(ae_int_t i)
{
    return *((alglib::complex*)(ptr->ptr.p_complex+i));
}

const alglib::complex& alglib::complex_1d_array::operator[](ae_int_t i) const
{
    return *((const alglib::complex*)(ptr->ptr.p_complex+i));
}

alglib::complex& alglib::complex_1d_array::operator[](ae_int_t i)
{
    return *((alglib::complex*)(ptr->ptr.p_complex+i));
}

void alglib::complex_1d_array::setcontent(ae_int_t iLen, const alglib::complex *pContent )
{
    ae_int_t i;
    
    // setlength(), handle possible exception-free errors
    setlength(iLen);
    if( ptr==NULL || ptr->cnt!=iLen  )
        return;
    
    // copy
    for(i=0; i<iLen; i++)
    {
        ptr->ptr.p_complex[i].x = pContent[i].x;
        ptr->ptr.p_complex[i].y = pContent[i].y;
    }
}

 alglib::complex* alglib::complex_1d_array::getcontent()
{
    return (alglib::complex*)ptr->ptr.p_complex;
}

const alglib::complex* alglib::complex_1d_array::getcontent() const
{
    return (const alglib::complex*)ptr->ptr.p_complex;
}

#if !defined(AE_NO_EXCEPTIONS)
alglib::complex_1d_array::complex_1d_array(const char *s):ae_vector_wrapper(s, alglib_impl::DT_COMPLEX)
{
}

std::string alglib::complex_1d_array::tostring(int dps) const 
{
    if( length()==0 )
        return "[]";
    return arraytostring(&operator()(0), length(), dps);
}
#endif

alglib::ae_matrix_wrapper::ae_matrix_wrapper(alglib_impl::ae_matrix *e_ptr, alglib_impl::ae_datatype datatype)
{
    if( e_ptr->datatype!=datatype )
    {
        const char *msg = "ALGLIB: ae_vector_wrapper datatype check failed";
#if !defined(AE_NO_EXCEPTIONS)
        _ALGLIB_CPP_EXCEPTION(msg);
#else
        ptr = NULL;
        is_frozen_proxy = false;
        _ALGLIB_SET_ERROR_FLAG(msg);
        return;
#endif
    }
    ptr = e_ptr;
    is_frozen_proxy = true;
}

alglib::ae_matrix_wrapper::ae_matrix_wrapper(alglib_impl::ae_datatype datatype)
{
    jmp_buf _break_jump;
    alglib_impl::ae_state _state;
    
    alglib_impl::ae_state_init(&_state);
    if( setjmp(_break_jump) )
    {
#if !defined(AE_NO_EXCEPTIONS)
        _ALGLIB_CPP_EXCEPTION(_state.error_msg);
#else
        ptr = NULL;
        is_frozen_proxy = false;
        _ALGLIB_SET_ERROR_FLAG(_state.error_msg);
        return;
#endif
    }
    alglib_impl::ae_state_set_break_jump(&_state, &_break_jump);
    ptr = &inner_mat;
    is_frozen_proxy = false;
    memset(ptr, 0, sizeof(*ptr));
    ae_matrix_init(ptr, 0, 0, datatype, &_state, ae_false);
    ae_state_clear(&_state);
    
}

alglib::ae_matrix_wrapper::ae_matrix_wrapper(const ae_matrix_wrapper &rhs, alglib_impl::ae_datatype datatype)
{
    jmp_buf _break_jump;
    alglib_impl::ae_state _state;
    
    alglib_impl::ae_state_init(&_state);
    if( setjmp(_break_jump) )
    {
#if !defined(AE_NO_EXCEPTIONS)
        _ALGLIB_CPP_EXCEPTION(_state.error_msg);
#else
        ptr = NULL;
        is_frozen_proxy = false;
        _ALGLIB_SET_ERROR_FLAG(_state.error_msg);
        return;
#endif
    }
    alglib_impl::ae_state_set_break_jump(&_state, &_break_jump);
    is_frozen_proxy = false;
    ptr = NULL;
    alglib_impl::ae_assert(rhs.ptr->datatype==datatype, "ALGLIB: ae_matrix_wrapper datatype check failed", &_state);
    if( rhs.ptr!=NULL )
    {
        ptr = &inner_mat;
        memset(ptr, 0, sizeof(*ptr));
        ae_matrix_init_copy(ptr, rhs.ptr, &_state, ae_false);
    }
    ae_state_clear(&_state);
}

alglib::ae_matrix_wrapper::~ae_matrix_wrapper()
{
    if( ptr==&inner_mat )
        ae_matrix_clear(ptr);
}

#if !defined(AE_NO_EXCEPTIONS)
alglib::ae_matrix_wrapper::ae_matrix_wrapper(const char *s, alglib_impl::ae_datatype datatype)
{
    std::vector< std::vector<const char*> > smat;
    size_t i, j;
    char *p = filter_spaces(s);
    if( p==NULL )
        _ALGLIB_CPP_EXCEPTION("ALGLIB: allocation error");
    try
    {
        str_matrix_create(p, &smat);
        {
            jmp_buf _break_jump;
            alglib_impl::ae_state _state;
            alglib_impl::ae_state_init(&_state);
            if( setjmp(_break_jump) )
                _ALGLIB_CPP_EXCEPTION(_state.error_msg);
            alglib_impl::ae_state_set_break_jump(&_state, &_break_jump);
            ptr = &inner_mat;
            is_frozen_proxy = false;
            memset(ptr, 0, sizeof(*ptr));
            if( smat.size()!=0 )
                ae_matrix_init(ptr, (ae_int_t)(smat.size()), (ae_int_t)(smat[0].size()), datatype, &_state, ae_false);
            else
                ae_matrix_init(ptr, 0, 0, datatype, &_state, ae_false);
            ae_state_clear(&_state);
        }
        for(i=0; i<smat.size(); i++)
            for(j=0; j<smat[0].size(); j++)
            {
                if( datatype==alglib_impl::DT_BOOL )
                    ptr->ptr.pp_bool[i][j]    = parse_bool_delim(smat[i][j],",]");
                if( datatype==alglib_impl::DT_INT )
                    ptr->ptr.pp_int[i][j]     = parse_int_delim(smat[i][j],",]");
                if( datatype==alglib_impl::DT_REAL )
                    ptr->ptr.pp_double[i][j]  = parse_real_delim(smat[i][j],",]");
                if( datatype==alglib_impl::DT_COMPLEX )
                {
                    alglib::complex t = parse_complex_delim(smat[i][j],",]");
                    ptr->ptr.pp_complex[i][j].x = t.x;
                    ptr->ptr.pp_complex[i][j].y = t.y;
                }
            }
        alglib_impl::ae_free(p);
    }
    catch(...)
    {
        alglib_impl::ae_free(p);
        throw;
    }
}
#endif

void alglib::ae_matrix_wrapper::setlength(ae_int_t rows, ae_int_t cols) // TODO: automatic allocation of NULL ptr!!!!!
{   
    jmp_buf _break_jump;
    alglib_impl::ae_state _state;
    alglib_impl::ae_state_init(&_state);
    if( setjmp(_break_jump) )
    {
#if !defined(AE_NO_EXCEPTIONS)
        _ALGLIB_CPP_EXCEPTION(_state.error_msg);
#else
        _ALGLIB_SET_ERROR_FLAG(_state.error_msg);
        return;
#endif
    }
    alglib_impl::ae_state_set_break_jump(&_state, &_break_jump);
    alglib_impl::ae_assert(ptr!=NULL, "ALGLIB: setlength() error, p_mat==NULL (array was not correctly initialized)", &_state);
    alglib_impl::ae_assert(!is_frozen_proxy, "ALGLIB: setlength() error, attempt to resize proxy array", &_state);
    alglib_impl::ae_matrix_set_length(ptr, rows, cols, &_state);
    alglib_impl::ae_state_clear(&_state);
}

alglib::ae_int_t alglib::ae_matrix_wrapper::rows() const
{
    if( ptr==NULL )
        return 0;
    return ptr->rows;
}

alglib::ae_int_t alglib::ae_matrix_wrapper::cols() const
{
    if( ptr==NULL )
        return 0;
    return ptr->cols;
}

bool alglib::ae_matrix_wrapper::isempty() const
{
    return rows()==0 || cols()==0;
}

alglib::ae_int_t alglib::ae_matrix_wrapper::getstride() const
{
    if( ptr==NULL )
        return 0;
    return ptr->stride;
}

void alglib::ae_matrix_wrapper::attach_to(alglib_impl::x_matrix *new_ptr, alglib_impl::ae_state *_state)
{
    if( ptr==&inner_mat )
        ae_matrix_clear(ptr);
    ptr = &inner_mat;
    memset(ptr, 0, sizeof(*ptr));
    ae_matrix_init_attach_to_x(ptr, new_ptr, _state, ae_false);
    is_frozen_proxy = true;
}
    
const alglib::ae_matrix_wrapper& alglib::ae_matrix_wrapper::assign(const alglib::ae_matrix_wrapper &rhs)
{
    ae_int_t i;
    jmp_buf _break_jump;
    alglib_impl::ae_state _state;
    if( this==&rhs )
        return *this;
    alglib_impl::ae_state_init(&_state);
    if( setjmp(_break_jump) )
    {
#if !defined(AE_NO_EXCEPTIONS)
        _ALGLIB_CPP_EXCEPTION(_state.error_msg);
#else
        _ALGLIB_SET_ERROR_FLAG(_state.error_msg);
        return *this;
#endif
    }
    alglib_impl::ae_state_set_break_jump(&_state, &_break_jump);
    ae_assert(ptr!=NULL, "ALGLIB: incorrect assignment to matrix (uninitialized destination)", &_state);
    ae_assert(rhs.ptr!=NULL, "ALGLIB: incorrect assignment to array (uninitialized source)", &_state);
    ae_assert(rhs.ptr->datatype==ptr->datatype, "ALGLIB: incorrect assignment to array (types dont match)", &_state);
    if( is_frozen_proxy )
    {
        ae_assert(rhs.ptr->rows==ptr->rows, "ALGLIB: incorrect assignment to proxy array (sizes dont match)", &_state);
        ae_assert(rhs.ptr->cols==ptr->cols, "ALGLIB: incorrect assignment to proxy array (sizes dont match)", &_state);
    }
    if( (rhs.ptr->rows!=ptr->rows) || (rhs.ptr->cols!=ptr->cols) )
        ae_matrix_set_length(ptr, rhs.ptr->rows, rhs.ptr->cols, &_state);
    for(i=0; i<ptr->rows; i++)
        memcpy(ptr->ptr.pp_void[i], rhs.ptr->ptr.pp_void[i], ptr->cols*alglib_impl::ae_sizeof(ptr->datatype));
    alglib_impl::ae_state_clear(&_state);
    return *this;
}

const alglib_impl::ae_matrix* alglib::ae_matrix_wrapper::c_ptr() const
{
    return ptr;
}

alglib_impl::ae_matrix* alglib::ae_matrix_wrapper::c_ptr()
{
    return ptr;
}

alglib::boolean_2d_array::boolean_2d_array():ae_matrix_wrapper(alglib_impl::DT_BOOL)
{
}

alglib::boolean_2d_array::boolean_2d_array(const alglib::boolean_2d_array &rhs):ae_matrix_wrapper(rhs,alglib_impl::DT_BOOL)
{
}

alglib::boolean_2d_array::boolean_2d_array(alglib_impl::ae_matrix *p):ae_matrix_wrapper(p,alglib_impl::DT_BOOL)
{
}

alglib::boolean_2d_array::~boolean_2d_array() 
{
}

const alglib::boolean_2d_array& alglib::boolean_2d_array::operator=(const alglib::boolean_2d_array &rhs)
{
    return static_cast<const boolean_2d_array&>(assign(rhs));
}

const ae_bool& alglib::boolean_2d_array::operator()(ae_int_t i, ae_int_t j) const
{
    return ptr->ptr.pp_bool[i][j];
}

ae_bool& alglib::boolean_2d_array::operator()(ae_int_t i, ae_int_t j)
{
    return ptr->ptr.pp_bool[i][j];
}

const ae_bool* alglib::boolean_2d_array::operator[](ae_int_t i) const
{
    return ptr->ptr.pp_bool[i];
}

ae_bool* alglib::boolean_2d_array::operator[](ae_int_t i)
{
    return ptr->ptr.pp_bool[i];
}

void alglib::boolean_2d_array::setcontent(ae_int_t irows, ae_int_t icols, const bool *pContent )
{
    ae_int_t i, j;
    
    // setlength(), handle possible exception-free errors
    setlength(irows, icols);
    if( ptr==NULL || ptr->rows!=irows || ptr->cols!=icols )
        return;
    
    // copy
    for(i=0; i<irows; i++)
        for(j=0; j<icols; j++)
            ptr->ptr.pp_bool[i][j] = pContent[i*icols+j];
}
    
#if !defined(AE_NO_EXCEPTIONS)
alglib::boolean_2d_array::boolean_2d_array(const char *s):ae_matrix_wrapper(s, alglib_impl::DT_BOOL)
{
}

std::string alglib::boolean_2d_array::tostring() const 
{
    std::string result;
    ae_int_t i;
    if( isempty() )
        return "[[]]";
    result = "[";
    for(i=0; i<rows(); i++)
    {
        if( i!=0 )
            result += ",";
        result += arraytostring(&operator()(i,0), cols());
    }
    result += "]";
    return result;
}
#endif

alglib::integer_2d_array::integer_2d_array():ae_matrix_wrapper(alglib_impl::DT_INT)
{
}

alglib::integer_2d_array::integer_2d_array(const alglib::integer_2d_array &rhs):ae_matrix_wrapper(rhs,alglib_impl::DT_INT)
{
}

alglib::integer_2d_array::integer_2d_array(alglib_impl::ae_matrix *p):ae_matrix_wrapper(p,alglib_impl::DT_INT)
{
}

alglib::integer_2d_array::~integer_2d_array() 
{
}

const alglib::integer_2d_array& alglib::integer_2d_array::operator=(const alglib::integer_2d_array &rhs)
{
    return static_cast<const integer_2d_array&>(assign(rhs));
}

const alglib::ae_int_t& alglib::integer_2d_array::operator()(ae_int_t i, ae_int_t j) const
{
    return ptr->ptr.pp_int[i][j];
}

alglib::ae_int_t& alglib::integer_2d_array::operator()(ae_int_t i, ae_int_t j)
{
    return ptr->ptr.pp_int[i][j];
}

const alglib::ae_int_t* alglib::integer_2d_array::operator[](ae_int_t i) const
{
    return ptr->ptr.pp_int[i];
}

alglib::ae_int_t* alglib::integer_2d_array::operator[](ae_int_t i)
{
    return ptr->ptr.pp_int[i];
}

void alglib::integer_2d_array::setcontent(ae_int_t irows, ae_int_t icols, const ae_int_t *pContent )
{
    ae_int_t i, j;
    
    // setlength(), handle possible exception-free errors
    setlength(irows, icols);
    if( ptr==NULL || ptr->rows!=irows || ptr->cols!=icols )
        return;
    
    // copy
    for(i=0; i<irows; i++)
        for(j=0; j<icols; j++)
            ptr->ptr.pp_int[i][j] = pContent[i*icols+j];
}

#if !defined(AE_NO_EXCEPTIONS)
alglib::integer_2d_array::integer_2d_array(const char *s):ae_matrix_wrapper(s, alglib_impl::DT_INT)
{
}

std::string alglib::integer_2d_array::tostring() const 
{
    std::string result;
    ae_int_t i;
    if( isempty() )
        return "[[]]";
    result = "[";
    for(i=0; i<rows(); i++)
    {
        if( i!=0 )
            result += ",";
        result += arraytostring(&operator()(i,0), cols());
    }
    result += "]";
    return result;
}
#endif

alglib::real_2d_array::real_2d_array():ae_matrix_wrapper(alglib_impl::DT_REAL)
{
}

alglib::real_2d_array::real_2d_array(const alglib::real_2d_array &rhs):ae_matrix_wrapper(rhs,alglib_impl::DT_REAL)
{
}

alglib::real_2d_array::real_2d_array(alglib_impl::ae_matrix *p):ae_matrix_wrapper(p,alglib_impl::DT_REAL)
{
}

alglib::real_2d_array::~real_2d_array() 
{
}

const alglib::real_2d_array& alglib::real_2d_array::operator=(const alglib::real_2d_array &rhs)
{
    return static_cast<const real_2d_array&>(assign(rhs));
}

const double& alglib::real_2d_array::operator()(ae_int_t i, ae_int_t j) const
{
    return ptr->ptr.pp_double[i][j];
}

double& alglib::real_2d_array::operator()(ae_int_t i, ae_int_t j)
{
    return ptr->ptr.pp_double[i][j];
}

const double* alglib::real_2d_array::operator[](ae_int_t i) const
{
    return ptr->ptr.pp_double[i];
}

double* alglib::real_2d_array::operator[](ae_int_t i)
{
    return ptr->ptr.pp_double[i];
}

void alglib::real_2d_array::setcontent(ae_int_t irows, ae_int_t icols, const double *pContent )
{
    ae_int_t i, j;
    
    // setlength(), handle possible exception-free errors
    setlength(irows, icols);
    if( ptr==NULL || ptr->rows!=irows || ptr->cols!=icols )
        return;
    
    // copy
    for(i=0; i<irows; i++)
        for(j=0; j<icols; j++)
            ptr->ptr.pp_double[i][j] = pContent[i*icols+j];
}

void alglib::real_2d_array::attach_to_ptr(ae_int_t irows, ae_int_t icols, double *pContent )
{
    jmp_buf _break_jump;
    alglib_impl::ae_state _state;
    alglib_impl::x_matrix x;
    alglib_impl::ae_state_init(&_state);
    if( setjmp(_break_jump) )
    {
#if !defined(AE_NO_EXCEPTIONS)
        _ALGLIB_CPP_EXCEPTION(_state.error_msg);
#else
        ptr = NULL;
        is_frozen_proxy = false;
        _ALGLIB_SET_ERROR_FLAG(_state.error_msg);
        return;
#endif
    }
    alglib_impl::ae_state_set_break_jump(&_state, &_break_jump);
    alglib_impl::ae_assert(!is_frozen_proxy, "ALGLIB: unable to attach proxy object to something else", &_state);
    alglib_impl::ae_assert(irows>0&&icols>0, "ALGLIB: non-positive length for attach_to_ptr()", &_state);
    x.rows = irows;
    x.cols = icols;
    x.stride = icols;
    x.datatype = alglib_impl::DT_REAL;
    x.owner = alglib_impl::OWN_CALLER;
    x.last_action = alglib_impl::ACT_UNCHANGED;
    x.x_ptr.p_ptr = pContent;
    attach_to(&x, &_state);
    ae_state_clear(&_state);
}

#if !defined(AE_NO_EXCEPTIONS)
alglib::real_2d_array::real_2d_array(const char *s):ae_matrix_wrapper(s, alglib_impl::DT_REAL)
{
}

std::string alglib::real_2d_array::tostring(int dps) const 
{
    std::string result;
    ae_int_t i;
    if( isempty() )
        return "[[]]";
    result = "[";
    for(i=0; i<rows(); i++)
    {
        if( i!=0 )
            result += ",";
        result += arraytostring(&operator()(i,0), cols(), dps);
    }
    result += "]";
    return result;
}
#endif

alglib::complex_2d_array::complex_2d_array():ae_matrix_wrapper(alglib_impl::DT_COMPLEX)
{
}

alglib::complex_2d_array::complex_2d_array(const alglib::complex_2d_array &rhs):ae_matrix_wrapper(rhs,alglib_impl::DT_COMPLEX)
{
}

alglib::complex_2d_array::complex_2d_array(alglib_impl::ae_matrix *p):ae_matrix_wrapper(p,alglib_impl::DT_COMPLEX)
{
}

alglib::complex_2d_array::~complex_2d_array() 
{
}

const alglib::complex_2d_array& alglib::complex_2d_array::operator=(const alglib::complex_2d_array &rhs)
{
    return static_cast<const complex_2d_array&>(assign(rhs));
}

const alglib::complex& alglib::complex_2d_array::operator()(ae_int_t i, ae_int_t j) const
{
    return *((const alglib::complex*)(ptr->ptr.pp_complex[i]+j));
}

alglib::complex& alglib::complex_2d_array::operator()(ae_int_t i, ae_int_t j)
{
    return *((alglib::complex*)(ptr->ptr.pp_complex[i]+j));
}

const alglib::complex* alglib::complex_2d_array::operator[](ae_int_t i) const
{
    return (const alglib::complex*)(ptr->ptr.pp_complex[i]);
}

alglib::complex* alglib::complex_2d_array::operator[](ae_int_t i)
{
    return (alglib::complex*)(ptr->ptr.pp_complex[i]);
}

void alglib::complex_2d_array::setcontent(ae_int_t irows, ae_int_t icols, const alglib::complex *pContent )
{
    ae_int_t i, j;
    
    // setlength(), handle possible exception-free errors
    setlength(irows, icols);
    if( ptr==NULL || ptr->rows!=irows || ptr->cols!=icols )
        return;
    
    // copy
    for(i=0; i<irows; i++)
        for(j=0; j<icols; j++)
        {
            ptr->ptr.pp_complex[i][j].x = pContent[i*icols+j].x;
            ptr->ptr.pp_complex[i][j].y = pContent[i*icols+j].y;
        }
}

#if !defined(AE_NO_EXCEPTIONS)
alglib::complex_2d_array::complex_2d_array(const char *s):ae_matrix_wrapper(s, alglib_impl::DT_COMPLEX)
{
}

std::string alglib::complex_2d_array::tostring(int dps) const 
{
    std::string result;
    ae_int_t i;
    if( isempty() )
        return "[[]]";
    result = "[";
    for(i=0; i<rows(); i++)
    {
        if( i!=0 )
            result += ",";
        result += arraytostring(&operator()(i,0), cols(), dps);
    }
    result += "]";
    return result;
}
#endif

/********************************************************************
Internal functions
********************************************************************/
double alglib::get_aenv_nan()
{
    double r;
    alglib_impl::ae_state _alglib_env_state;
    alglib_impl::ae_state_init(&_alglib_env_state);
    r = _alglib_env_state.v_nan;
    alglib_impl::ae_state_clear(&_alglib_env_state);
    return r;
}

double alglib::get_aenv_posinf()
{
    double r;
    alglib_impl::ae_state _alglib_env_state;
    alglib_impl::ae_state_init(&_alglib_env_state);
    r = _alglib_env_state.v_posinf;
    alglib_impl::ae_state_clear(&_alglib_env_state);
    return r;
}

double alglib::get_aenv_neginf()
{
    double r;
    alglib_impl::ae_state _alglib_env_state;
    alglib_impl::ae_state_init(&_alglib_env_state);
    r = _alglib_env_state.v_neginf;
    alglib_impl::ae_state_clear(&_alglib_env_state);
    return r;
}

alglib::ae_int_t alglib::my_stricmp(const char *s1, const char *s2)
{
    int c1, c2;
    
    //
    // handle special cases
    //
    if(s1==NULL && s2!=NULL)
        return -1;
    if(s1!=NULL && s2==NULL)
        return +1;
    if(s1==NULL && s2==NULL)
        return 0;

    //
    // compare
    //
    for (;;)
    {
        c1 = *s1;
        c2 = *s2;
        s1++;
        s2++;
        if( c1==0 )
            return c2==0 ? 0 : -1;
        if( c2==0 )
            return c1==0 ? 0 : +1;
        c1 = tolower(c1);
        c2 = tolower(c2);
        if( c1<c2 )
            return -1;
        if( c1>c2 )
            return +1;
    }
}

#if !defined(AE_NO_EXCEPTIONS)
//
// This function filters out all spaces from the string.
// It returns string allocated with ae_malloc().
// On allocaction failure returns NULL.
//
char* alglib::filter_spaces(const char *s)
{
    size_t i, n;
    char *r;
    char *r0;
    n = strlen(s);
    r = (char*)alglib_impl::ae_malloc(n+1,NULL);
    if( r==NULL )
        return r;
    for(i=0,r0=r; i<=n; i++,s++)
        if( !isspace(*s) )
        {
            *r0 = *s;
            r0++;
        }
    return r;
}

void alglib::str_vector_create(const char *src, bool match_head_only, std::vector<const char*> *p_vec)
{
    //
    // parse beginning of the string.
    // try to handle "[]" string
    //
    p_vec->clear();
    if( *src!='[' )
        _ALGLIB_CPP_EXCEPTION("Incorrect initializer for vector");
    src++;
    if( *src==']' )
        return;
    p_vec->push_back(src);
    for(;;)
    {
        if( *src==0 )
            _ALGLIB_CPP_EXCEPTION("Incorrect initializer for vector");
        if( *src==']' )
        {
            if( src[1]==0 || !match_head_only)
                return;
            _ALGLIB_CPP_EXCEPTION("Incorrect initializer for vector");
        }
        if( *src==',' )
        {
            p_vec->push_back(src+1);
            src++;
            continue;
        }
        src++;
    }
}

void alglib::str_matrix_create(const char *src, std::vector< std::vector<const char*> > *p_mat)
{
    p_mat->clear();
    
    //
    // Try to handle "[[]]" string
    //
    if( strcmp(src, "[[]]")==0 )
        return;

    //
    // Parse non-empty string
    //
    if( *src!='[' )
        _ALGLIB_CPP_EXCEPTION("Incorrect initializer for matrix");
    src++;
    for(;;)
    {
        p_mat->push_back(std::vector<const char*>());
        str_vector_create(src, false, &p_mat->back());
        if( p_mat->back().size()==0 || p_mat->back().size()!=(*p_mat)[0].size() )
            _ALGLIB_CPP_EXCEPTION("Incorrect initializer for matrix");
        src = strchr(src, ']');
        if( src==NULL )
            _ALGLIB_CPP_EXCEPTION("Incorrect initializer for matrix");
        src++;
        if( *src==',' )
        {
            src++;
            continue;
        }
        if( *src==']' )
            break;
        _ALGLIB_CPP_EXCEPTION("Incorrect initializer for matrix");
    }
    src++;
    if( *src!=0 )
        _ALGLIB_CPP_EXCEPTION("Incorrect initializer for matrix");
}

ae_bool alglib::parse_bool_delim(const char *s, const char *delim)
{
    const char *p;
    char buf[8];
    
    // try to parse false
    p = "false";
    memset(buf, 0, sizeof(buf));
    strncpy(buf, s, strlen(p));
    if( my_stricmp(buf, p)==0 )
    {
        if( s[strlen(p)]==0 || strchr(delim,s[strlen(p)])==NULL )
            _ALGLIB_CPP_EXCEPTION("Cannot parse value");
        return ae_false;
    }

    // try to parse true
    p = "true";
    memset(buf, 0, sizeof(buf));
    strncpy(buf, s, strlen(p));
    if( my_stricmp(buf, p)==0 )
    {
        if( s[strlen(p)]==0 || strchr(delim,s[strlen(p)])==NULL )
            _ALGLIB_CPP_EXCEPTION("Cannot parse value");
        return ae_true;
    }

    // error
    _ALGLIB_CPP_EXCEPTION("Cannot parse value");
}

alglib::ae_int_t alglib::parse_int_delim(const char *s, const char *delim)
{
    const char *p;
    long long_val;
    volatile ae_int_t ae_val;
    
    p = s;

    //
    // check string structure:
    // * leading sign
    // * at least one digit
    // * delimiter
    //
    if( *s=='-' || *s=='+' )
        s++;
    if( *s==0 || strchr("1234567890",*s)==NULL)
        _ALGLIB_CPP_EXCEPTION("Cannot parse value");
    while( *s!=0 && strchr("1234567890",*s)!=NULL )
        s++;
    if( *s==0 || strchr(delim,*s)==NULL )
        _ALGLIB_CPP_EXCEPTION("Cannot parse value");

    // convert and ensure that value fits into ae_int_t
    s = p;
    long_val = atol(s);
    ae_val = long_val;
    if( ae_val!=long_val )
        _ALGLIB_CPP_EXCEPTION("Cannot parse value");
    return ae_val;
}

bool alglib::_parse_real_delim(const char *s, const char *delim, double *result, const char **new_s)
{
    const char *p;
    char *t;
    bool has_digits;
    char buf[64];
    int  isign;
    lconv *loc;

    p = s;
    
    //
    // check string structure and decide what to do
    //
    isign = 1;
    if( *s=='-' || *s=='+' )
    {
        isign = *s=='-' ? -1 : +1;
        s++;
    }
    memset(buf, 0, sizeof(buf));
    strncpy(buf, s, 3);
    if( my_stricmp(buf,"nan")!=0 && my_stricmp(buf,"inf")!=0 )
    {
        //
        // [sign] [ddd] [.] [ddd] [e|E[sign]ddd]
        //
        has_digits = false;
        if( *s!=0 && strchr("1234567890",*s)!=NULL )
        {
            has_digits = true;
            while( *s!=0 && strchr("1234567890",*s)!=NULL )
                s++;
        }
        if( *s=='.' )
            s++;
        if( *s!=0 && strchr("1234567890",*s)!=NULL )
        {
            has_digits = true;
            while( *s!=0 && strchr("1234567890",*s)!=NULL )
                s++;
        }
        if (!has_digits )
            return false;
        if( *s=='e' || *s=='E' )
        {
            s++;
            if( *s=='-' || *s=='+' )
                s++;
            if( *s==0 || strchr("1234567890",*s)==NULL )
                return false;
            while( *s!=0 && strchr("1234567890",*s)!=NULL )
                s++;
        }   
        if( *s==0 || strchr(delim,*s)==NULL )
            return false;
        *new_s = s;

        //
        // finite value conversion
        //
        if( *new_s-p>=(int)sizeof(buf) )
            return false;
        strncpy(buf, p, (size_t)(*new_s-p));
        buf[*new_s-p] = 0;
        loc = localeconv();
        t = strchr(buf,'.');
        if( t!=NULL )
            *t = *loc->decimal_point;
        *result = atof(buf);
        return true;
    }
    else
    {
        //
        // check delimiter and update *new_s
        //
        s += 3;
        if( *s==0 || strchr(delim,*s)==NULL )
            return false;
        *new_s = s;

        //
        // NAN, INF conversion
        //
        if( my_stricmp(buf,"nan")==0 )
            *result = fp_nan;
        if( my_stricmp(buf,"inf")==0 )
            *result = isign>0 ? fp_posinf : fp_neginf;
        return true;
    }
}

double alglib::parse_real_delim(const char *s, const char *delim)
{
    double result;
    const char *new_s;
    if( !_parse_real_delim(s, delim, &result, &new_s) )
        _ALGLIB_CPP_EXCEPTION("Cannot parse value");
    return result;
}

alglib::complex alglib::parse_complex_delim(const char *s, const char *delim)
{
    double d_result;
    const char *new_s;
    alglib::complex c_result;
    
    // parse as real value
    if( _parse_real_delim(s, delim, &d_result, &new_s) )
        return d_result;

    // parse as "a+bi" or "a-bi"
    if( _parse_real_delim(s, "+-", &c_result.x, &new_s) )
    {
        s = new_s;
        if( !_parse_real_delim(s, "i", &c_result.y, &new_s) )
            _ALGLIB_CPP_EXCEPTION("Cannot parse value");
        s = new_s+1;
        if( *s==0 || strchr(delim,*s)==NULL )
            _ALGLIB_CPP_EXCEPTION("Cannot parse value");
        return c_result;
    }
    
    // parse as complex value "bi+a" or "bi-a"
    if( _parse_real_delim(s, "i", &c_result.y, &new_s) )
    {
        s = new_s+1;
        if( *s==0 )
            _ALGLIB_CPP_EXCEPTION("Cannot parse value");
        if( strchr(delim,*s)!=NULL )
        {
            c_result.x = 0;
            return c_result;
        }
        if( strchr("+-",*s)!=NULL )
        {
            if( !_parse_real_delim(s, delim, &c_result.x, &new_s) )
                _ALGLIB_CPP_EXCEPTION("Cannot parse value");
            return c_result;
        }
        _ALGLIB_CPP_EXCEPTION("Cannot parse value");
    }

    // error
    _ALGLIB_CPP_EXCEPTION("Cannot parse value");
}

std::string alglib::arraytostring(const bool *ptr, ae_int_t n)
{
    std::string result;
    ae_int_t i;
    result = "[";
    for(i=0; i<n; i++)
    {
        if( i!=0 )
            result += ",";
        result += ptr[i] ? "true" : "false";
    }
    result += "]";
    return result;
}

std::string alglib::arraytostring(const ae_int_t *ptr, ae_int_t n)
{
    std::string result;
    ae_int_t i;
    char buf[64];
    result = "[";
    for(i=0; i<n; i++)
    {
        if( sprintf(buf, i==0 ? "%ld" : ",%ld", long(ptr[i]))>=(int)sizeof(buf) )
            _ALGLIB_CPP_EXCEPTION("arraytostring(): buffer overflow");
        result += buf;
    }
    result += "]";
    return result;
}

std::string alglib::arraytostring(const double *ptr, ae_int_t n, int _dps)
{
    std::string result;
    ae_int_t i;
    char buf[64];
    char mask1[64];
    char mask2[80];
    int dps = _dps>=0 ? _dps : -_dps;
    dps = dps<=50 ? dps : 50;
    result = "[";
    if( sprintf(mask1, "%%.%d%s", dps, _dps>=0 ? "f" : "e")>=(int)sizeof(mask1) )
        _ALGLIB_CPP_EXCEPTION("arraytostring(): buffer overflow");
    if( sprintf(mask2, ",%s", mask1)>=(int)sizeof(mask2) )
        _ALGLIB_CPP_EXCEPTION("arraytostring(): buffer overflow");
    for(i=0; i<n; i++)
    {
        buf[0] = 0;
        if( fp_isfinite(ptr[i]) )
        {
            if( sprintf(buf, i==0 ? mask1 : mask2, double(ptr[i]))>=(int)sizeof(buf) )
                _ALGLIB_CPP_EXCEPTION("arraytostring(): buffer overflow");
        }
        else if( fp_isnan(ptr[i]) )
            strcpy(buf, i==0 ?  "NAN" :  ",NAN");
        else if( fp_isposinf(ptr[i]) )
            strcpy(buf, i==0 ? "+INF" : ",+INF");
        else if( fp_isneginf(ptr[i]) )
            strcpy(buf, i==0 ? "-INF" : ",-INF");
        result += buf;
    }
    result += "]";
    return result;
}

std::string alglib::arraytostring(const alglib::complex *ptr, ae_int_t n, int dps)
{
    std::string result;
    ae_int_t i;
    result = "[";
    for(i=0; i<n; i++)
    {
        if( i!=0 )
            result += ",";
        result += ptr[i].tostring(dps);
    }
    result += "]";
    return result;
}
#endif


/********************************************************************
standard functions
********************************************************************/
int alglib::sign(double x)
{
    if( x>0 ) return  1;
    if( x<0 ) return -1;
    return 0;
}

double alglib::randomreal()
{
    int i1 = rand();
    int i2 = rand();
    double mx = (double)(RAND_MAX)+1.0;
    volatile double tmp0 = i2/mx;
    volatile double tmp1 = i1+tmp0;
    return tmp1/mx;
}

alglib::ae_int_t alglib::randominteger(alglib::ae_int_t maxv)
{
    return ((alglib::ae_int_t)rand())%maxv;
}

int alglib::round(double x)
{ return int(floor(x+0.5)); }

int alglib::trunc(double x)
{ return int(x>0 ? floor(x) : ceil(x)); }

int alglib::ifloor(double x)
{ return int(floor(x)); }

int alglib::iceil(double x)
{ return int(ceil(x)); }

double alglib::pi()
{ return 3.14159265358979323846; }

double alglib::sqr(double x)
{ return x*x; }

int alglib::maxint(int m1, int m2)
{
    return m1>m2 ? m1 : m2;
}

int alglib::minint(int m1, int m2)
{
    return m1>m2 ? m2 : m1;
}

double alglib::maxreal(double m1, double m2)
{
    return m1>m2 ? m1 : m2;
}

double alglib::minreal(double m1, double m2)
{
    return m1>m2 ? m2 : m1;
}

bool alglib::fp_eq(double v1, double v2)
{
    // IEEE-strict floating point comparison
    volatile double x = v1;
    volatile double y = v2;
    return x==y;
}

bool alglib::fp_neq(double v1, double v2)
{
    // IEEE-strict floating point comparison
    return !fp_eq(v1,v2);
}

bool alglib::fp_less(double v1, double v2)
{
    // IEEE-strict floating point comparison
    volatile double x = v1;
    volatile double y = v2;
    return x<y;
}

bool alglib::fp_less_eq(double v1, double v2)
{
    // IEEE-strict floating point comparison
    volatile double x = v1;
    volatile double y = v2;
    return x<=y;
}

bool alglib::fp_greater(double v1, double v2)
{
    // IEEE-strict floating point comparison
    volatile double x = v1;
    volatile double y = v2;
    return x>y;
}

bool alglib::fp_greater_eq(double v1, double v2)
{
    // IEEE-strict floating point comparison
    volatile double x = v1;
    volatile double y = v2;
    return x>=y;
}

bool alglib::fp_isnan(double x)
{
    return alglib_impl::ae_isnan_stateless(x,endianness);
}

bool alglib::fp_isposinf(double x)
{
    return alglib_impl::ae_isposinf_stateless(x,endianness);
}

bool alglib::fp_isneginf(double x)
{
    return alglib_impl::ae_isneginf_stateless(x,endianness);
}

bool alglib::fp_isinf(double x)
{
    return alglib_impl::ae_isinf_stateless(x,endianness);
}

bool alglib::fp_isfinite(double x)
{
    return alglib_impl::ae_isfinite_stateless(x,endianness);
}

/********************************************************************
CSV functions
********************************************************************/
#if !defined(AE_NO_EXCEPTIONS)
void alglib::read_csv(const char *filename, char separator, int flags, alglib::real_2d_array &out)
{
    int flag;
    
    //
    // Parameters
    //
    bool skip_first_row = (flags&CSV_SKIP_HEADERS)!=0;
    
    //
    // Prepare empty output array
    //
    out.setlength(0,0);
    
    //
    // Open file, determine size, read contents
    //
    FILE *f_in = fopen(filename, "rb");
    if( f_in==NULL )
        _ALGLIB_CPP_EXCEPTION("read_csv: unable to open input file");
    flag = fseek(f_in, 0, SEEK_END);
    AE_CRITICAL_ASSERT(flag==0);
    long int _filesize = ftell(f_in);
    AE_CRITICAL_ASSERT(_filesize>=0);
    if( _filesize==0 )
    {
        // empty file, return empty array, success
        fclose(f_in);
        return;
    }
    size_t filesize = _filesize;
    std::vector<char> v_buf;
    v_buf.resize(filesize+2, 0);
    char *p_buf = &v_buf[0];
    flag = fseek(f_in, 0, SEEK_SET);
    AE_CRITICAL_ASSERT(flag==0);
    size_t bytes_read = fread ((void*)p_buf, 1, filesize, f_in);
    AE_CRITICAL_ASSERT(bytes_read==filesize);
    fclose(f_in);
    
    //
    // Normalize file contents:
    // * replace 0x0 by spaces
    // * remove trailing spaces and newlines
    // * append trailing '\n' and '\0' characters
    // Return if file contains only spaces/newlines.
    //
    for(size_t i=0; i<filesize; i++)
        if( p_buf[i]==0 )
            p_buf[i] = ' ';
    for(; filesize>0; )
    {
        char c = p_buf[filesize-1];
        if( c==' ' || c=='\t' || c=='\n' || c=='\r' )
        {
            filesize--;
            continue;
        }
        break;
    }
    if( filesize==0 )
        return;
    p_buf[filesize+0] = '\n';
    p_buf[filesize+1] = '\0';
    filesize+=2;
    
    //
    // Scan dataset.
    //
    size_t rows_count = 0, cols_count = 0, max_length = 0;
    std::vector<size_t> offsets, lengths;
    for(size_t row_start=0; p_buf[row_start]!=0x0; )
    {
        // determine row length
        size_t row_length;
        for(row_length=0; p_buf[row_start+row_length]!='\n'; row_length++);
        
        // determine cols count, perform integrity check
        size_t cur_cols_cnt=1;
        for(size_t idx=0; idx<row_length; idx++)
            if( p_buf[row_start+idx]==separator )
                cur_cols_cnt++;
        if( cols_count>0 && cols_count!=cur_cols_cnt )
            _ALGLIB_CPP_EXCEPTION("read_csv: non-rectangular contents, rows have different sizes");
        cols_count = cur_cols_cnt;
        
        // store offsets and lengths of the fields
        size_t cur_offs = 0;
        for(size_t idx=0; idx<row_length+1; idx++)
            if( p_buf[row_start+idx]==separator || p_buf[row_start+idx]=='\n' )
            {
                offsets.push_back(row_start+cur_offs);
                lengths.push_back(idx-cur_offs);
                max_length = idx-cur_offs>max_length ? idx-cur_offs : max_length;
                cur_offs = idx+1;
            }
        
        // advance row start
        rows_count++;
        row_start = row_start+row_length+1;
    }
    AE_CRITICAL_ASSERT(rows_count>=1);
    AE_CRITICAL_ASSERT(cols_count>=1);
    AE_CRITICAL_ASSERT(cols_count*rows_count==offsets.size());
    AE_CRITICAL_ASSERT(cols_count*rows_count==lengths.size());
    if( rows_count==1 && skip_first_row ) // empty output, return
        return;
    
    //
    // Convert
    //
    size_t row0 = skip_first_row ? 1 : 0;
    size_t row1 = rows_count;
    lconv *loc  = localeconv();
    out.setlength(row1-row0, cols_count);
    for(size_t ridx=row0; ridx<row1; ridx++)
        for(size_t cidx=0; cidx<cols_count; cidx++)
        {
            char *p_field = p_buf+offsets[ridx*cols_count+cidx];
            size_t       field_len = lengths[ridx*cols_count+cidx];
            for(size_t idx=0; idx<field_len; idx++)
                if( p_field[idx]=='.' || p_field[idx]==',' )
                    p_field[idx] = *loc->decimal_point;
            out[ridx-row0][cidx] = atof(p_field);
        }
}
#endif



/********************************************************************
Trace functions
********************************************************************/
void alglib::trace_file(std::string tags, std::string filename)
{
    alglib_impl::ae_trace_file(tags.c_str(), filename.c_str());
}

void alglib::trace_disable()
{
    alglib_impl::ae_trace_disable();
}



/////////////////////////////////////////////////////////////////////////
//
// THIS SECTIONS CONTAINS OPTIMIZED LINEAR ALGEBRA CODE
// IT IS SHARED BETWEEN C++ AND PURE C LIBRARIES
//
/////////////////////////////////////////////////////////////////////////
#if defined(_ALGLIB_HAS_SSE2_INTRINSICS)
#include "kernels_sse2.h"
#endif
#if defined(_ALGLIB_HAS_AVX2_INTRINSICS)
#include "kernels_avx2.h"
#endif
#if defined(_ALGLIB_HAS_FMA_INTRINSICS)
#include "kernels_fma.h"
#endif
namespace alglib_impl
{
#define alglib_simd_alignment 16

#define alglib_r_block        32
#define alglib_half_r_block   16
#define alglib_twice_r_block  64

#define alglib_c_block        16
#define alglib_half_c_block    8
#define alglib_twice_c_block  32




/********************************************************************
This subroutine calculates fast 32x32 real matrix-vector product:

    y := beta*y + alpha*A*x

using either generic C code or native optimizations (if available)

IMPORTANT:
* A must be stored in row-major order,
  stride is alglib_r_block,
  aligned on alglib_simd_alignment boundary
* X must be aligned on alglib_simd_alignment boundary
* Y may be non-aligned
********************************************************************/
void _ialglib_mv_32(const double *a, const double *x, double *y, ae_int_t stride, double alpha, double beta)
{
    ae_int_t i, k;
    const double *pa0, *pa1, *pb;

    pa0 = a;
    pa1 = a+alglib_r_block;
    pb = x;
    for(i=0; i<16; i++)
    {
        double v0 = 0, v1 = 0;
        for(k=0; k<4; k++)
        {
            v0 += pa0[0]*pb[0];
            v1 += pa1[0]*pb[0];
            v0 += pa0[1]*pb[1];
            v1 += pa1[1]*pb[1];
            v0 += pa0[2]*pb[2];
            v1 += pa1[2]*pb[2];
            v0 += pa0[3]*pb[3];
            v1 += pa1[3]*pb[3];
            v0 += pa0[4]*pb[4];
            v1 += pa1[4]*pb[4];
            v0 += pa0[5]*pb[5];
            v1 += pa1[5]*pb[5];
            v0 += pa0[6]*pb[6];
            v1 += pa1[6]*pb[6];
            v0 += pa0[7]*pb[7];
            v1 += pa1[7]*pb[7];
            pa0 += 8;
            pa1 += 8;
            pb  += 8;
        }
        y[0] = beta*y[0]+alpha*v0;
        y[stride] = beta*y[stride]+alpha*v1;

        /*
         * now we've processed rows I and I+1,
         * pa0 and pa1 are pointing to rows I+1 and I+2.
         * move to I+2 and I+3.
         */
        pa0 += alglib_r_block;
        pa1 += alglib_r_block;
        pb = x;
        y+=2*stride;
    }
}


/*************************************************************************
This function calculates MxN real matrix-vector product:

    y := beta*y + alpha*A*x

using generic C code. It calls _ialglib_mv_32 if both M=32 and N=32.

If beta is zero, we do not use previous values of y (they are  overwritten
by alpha*A*x without ever being read).  If alpha is zero, no matrix-vector
product is calculated (only beta is updated); however, this update  is not
efficient  and  this  function  should  NOT  be used for multiplication of 
vector and scalar.

IMPORTANT:
* 0<=M<=alglib_r_block, 0<=N<=alglib_r_block
* A must be stored in row-major order with stride equal to alglib_r_block
*************************************************************************/
void _ialglib_rmv(ae_int_t m, ae_int_t n, const double *a, const double *x, double *y, ae_int_t stride, double alpha, double beta)
{
    /*
     * Handle special cases:
     * - alpha is zero or n is zero
     * - m is zero
     */
    if( m==0 )
        return;
    if( alpha==0.0 || n==0 )
    {
        ae_int_t i;
        if( beta==0.0 )
        {
            for(i=0; i<m; i++)
            {
                *y = 0.0;
                y += stride;
            }
        }
        else
        {
            for(i=0; i<m; i++)
            {
                *y *= beta;
                y += stride;
            }
        }
        return;
    }
    
    /*
     * Handle general case: nonzero alpha, n and m
     *
     */
    if( m==32 && n==32 )
    {
        /*
         * 32x32, may be we have something better than general implementation
         */
        _ialglib_mv_32(a, x, y, stride, alpha, beta);
    }
    else
    {
        ae_int_t i, k, m2, n8, n2, ntrail2;
        const double *pa0, *pa1, *pb;

        /*
         * First M/2 rows of A are processed in pairs.
         * optimized code is used.
         */
        m2 = m/2;
        n8 = n/8;
        ntrail2 = (n-8*n8)/2;
        for(i=0; i<m2; i++)
        {
            double v0 = 0, v1 = 0;

            /*
             * 'a' points to the part of the matrix which
             * is not processed yet
             */
            pb = x;
            pa0 = a;
            pa1 = a+alglib_r_block;
            a += alglib_twice_r_block;

            /*
             * 8 elements per iteration
             */
            for(k=0; k<n8; k++)
            {
                v0 += pa0[0]*pb[0];
                v1 += pa1[0]*pb[0];
                v0 += pa0[1]*pb[1];
                v1 += pa1[1]*pb[1];
                v0 += pa0[2]*pb[2];
                v1 += pa1[2]*pb[2];
                v0 += pa0[3]*pb[3];
                v1 += pa1[3]*pb[3];
                v0 += pa0[4]*pb[4];
                v1 += pa1[4]*pb[4];
                v0 += pa0[5]*pb[5];
                v1 += pa1[5]*pb[5];
                v0 += pa0[6]*pb[6];
                v1 += pa1[6]*pb[6];
                v0 += pa0[7]*pb[7];
                v1 += pa1[7]*pb[7];
                pa0 += 8;
                pa1 += 8;
                pb  += 8;
            }

            /*
             * 2 elements per iteration
             */
            for(k=0; k<ntrail2; k++)
            {
                v0 += pa0[0]*pb[0];
                v1 += pa1[0]*pb[0];
                v0 += pa0[1]*pb[1];
                v1 += pa1[1]*pb[1];
                pa0 += 2;
                pa1 += 2;
                pb  += 2;
            }

            /*
             * last element, if needed
             */
            if( n%2!=0 )
            {
                v0 += pa0[0]*pb[0];
                v1 += pa1[0]*pb[0];
            }

            /*
             * final update
             */
            if( beta!=0 )
            {
                y[0] = beta*y[0]+alpha*v0;
                y[stride] = beta*y[stride]+alpha*v1;
            }
            else
            {
                y[0] = alpha*v0;
                y[stride] = alpha*v1;
            }
            
            /*
             * move to the next pair of elements
             */
            y+=2*stride;
        }


        /*
         * Last (odd) row is processed with less optimized code.
         */
        if( m%2!=0 )
        {
            double v0 = 0;

            /*
             * 'a' points to the part of the matrix which
             * is not processed yet
             */
            pb = x;
            pa0 = a;

            /*
             * 2 elements per iteration
             */
            n2 = n/2;
            for(k=0; k<n2; k++)
            {
                v0 += pa0[0]*pb[0]+pa0[1]*pb[1];
                pa0 += 2;
                pb  += 2;
            }

            /*
             * last element, if needed
             */
            if( n%2!=0 )
                v0 += pa0[0]*pb[0];

            /*
             * final update
             */
            if( beta!=0 )
                y[0] = beta*y[0]+alpha*v0;
            else
                y[0] = alpha*v0;
        }
    }
}


/*************************************************************************
This function calculates MxN real matrix-vector product:

    y := beta*y + alpha*A*x

using generic C code. It calls _ialglib_mv_32 if both M=32 and N=32.

If beta is zero, we do not use previous values of y (they are  overwritten
by alpha*A*x without ever being read).  If alpha is zero, no matrix-vector
product is calculated (only beta is updated); however, this update  is not
efficient  and  this  function  should  NOT  be used for multiplication of 
vector and scalar.

IMPORTANT:
* 0<=M<=alglib_r_block, 0<=N<=alglib_r_block
* A must be stored in row-major order with stride equal to alglib_r_block
* y may be non-aligned
* both A and x must have same offset with respect to 16-byte boundary:
  either both are aligned, or both are aligned with offset 8. Function
  will crash your system if you try to call it with misaligned or 
  incorrectly aligned data.

This function supports SSE2; it can be used when:
1. AE_HAS_SSE2_INTRINSICS was defined (checked at compile-time)
2. ae_cpuid() result contains CPU_SSE2 (checked at run-time)

If (1) is failed, this function will be undefined. If (2) is failed,  call 
to this function will probably crash your system. 

If  you  want  to  know  whether  it  is safe to call it, you should check 
results  of  ae_cpuid(). If CPU_SSE2 bit is set, this function is callable 
and will do its work.
*************************************************************************/
#if defined(AE_HAS_SSE2_INTRINSICS)
void _ialglib_rmv_sse2(ae_int_t m, ae_int_t n, const double *a, const double *x, double *y, ae_int_t stride, double alpha, double beta)
{
    ae_int_t i, k, n2;
    ae_int_t mb3, mtail, nhead, nb8, nb2, ntail;
    const double *pa0, *pa1, *pa2, *pb;
    __m128d v0, v1, v2, va0, va1, va2, vx, vtmp;
    
    /*
     * Handle special cases:
     * - alpha is zero or n is zero
     * - m is zero
     */
    if( m==0 )
        return;
    if( alpha==0.0 || n==0 )
    {
        if( beta==0.0 )
        {
            for(i=0; i<m; i++)
            {
                *y = 0.0;
                y += stride;
            }
        }
        else
        {
            for(i=0; i<m; i++)
            {
                *y *= beta;
                y += stride;
            }
        }
        return;
    }
    
    /*
     * Handle general case: nonzero alpha, n and m
     *
     * We divide problem as follows...
     *
     * Rows M are divided into:
     * - mb3 blocks, each 3xN
     * - mtail blocks, each 1xN
     *
     * Within a row, elements are divided  into:
     * - nhead 1x1 blocks (used to align the rest, either 0 or 1)
     * - nb8 1x8 blocks, aligned to 16-byte boundary
     * - nb2 1x2 blocks, aligned to 16-byte boundary
     * - ntail 1x1 blocks, aligned too (altough we don't rely on it)
     *
     */
    n2 = n/2;    
    mb3 = m/3;
    mtail = m%3;
    nhead = ae_misalignment(a,alglib_simd_alignment)==0 ? 0 : 1;
    nb8 = (n-nhead)/8;
    nb2 = (n-nhead-8*nb8)/2;
    ntail = n-nhead-8*nb8-2*nb2;
    for(i=0; i<mb3; i++)
    {
        double row0, row1, row2;
        row0 = 0;
        row1 = 0;
        row2 = 0;
        pb = x;
        pa0 = a;
        pa1 = a+alglib_r_block;
        pa2 = a+alglib_twice_r_block;
        a += 3*alglib_r_block;
        if( nhead==1 )
        {
            vx  = _mm_load_sd(pb);
            v0 = _mm_load_sd(pa0);
            v1 = _mm_load_sd(pa1);
            v2 = _mm_load_sd(pa2);
            
            v0 = _mm_mul_sd(v0,vx);
            v1 = _mm_mul_sd(v1,vx);
            v2 = _mm_mul_sd(v2,vx);
            
            pa0++;
            pa1++;
            pa2++;
            pb++;
        }
        else
        {
            v0 = _mm_setzero_pd();
            v1 = _mm_setzero_pd();
            v2 = _mm_setzero_pd();
        }
        for(k=0; k<nb8; k++)
        {
            /*
             * this code is a shuffle of simultaneous dot product.
             * see below for commented unshuffled original version.
             */
            vx  = _mm_load_pd(pb);
            va0 = _mm_load_pd(pa0);
            va1 = _mm_load_pd(pa1);
            va0 = _mm_mul_pd(va0,vx);
            va2 = _mm_load_pd(pa2);
            v0 = _mm_add_pd(va0,v0);
            va1 = _mm_mul_pd(va1,vx);
            va0 = _mm_load_pd(pa0+2);
            v1 = _mm_add_pd(va1,v1);
            va2 = _mm_mul_pd(va2,vx);
            va1 = _mm_load_pd(pa1+2);
            v2 = _mm_add_pd(va2,v2);
            vx  = _mm_load_pd(pb+2);
            va0 = _mm_mul_pd(va0,vx);
            va2 = _mm_load_pd(pa2+2);
            v0 = _mm_add_pd(va0,v0);
            va1 = _mm_mul_pd(va1,vx);
            va0 = _mm_load_pd(pa0+4);
            v1 = _mm_add_pd(va1,v1);
            va2 = _mm_mul_pd(va2,vx);
            va1 = _mm_load_pd(pa1+4);
            v2 = _mm_add_pd(va2,v2);
            vx  = _mm_load_pd(pb+4);
            va0 = _mm_mul_pd(va0,vx);
            va2 = _mm_load_pd(pa2+4);
            v0 = _mm_add_pd(va0,v0);
            va1 = _mm_mul_pd(va1,vx);
            va0 = _mm_load_pd(pa0+6);
            v1 = _mm_add_pd(va1,v1);
            va2 = _mm_mul_pd(va2,vx);
            va1 = _mm_load_pd(pa1+6);
            v2 = _mm_add_pd(va2,v2);
            vx  = _mm_load_pd(pb+6);
            va0 = _mm_mul_pd(va0,vx);
            v0 = _mm_add_pd(va0,v0);
            va2 = _mm_load_pd(pa2+6);
            va1 = _mm_mul_pd(va1,vx);
            v1 = _mm_add_pd(va1,v1);
            va2 = _mm_mul_pd(va2,vx);
            v2 = _mm_add_pd(va2,v2);
            
            pa0 += 8;
            pa1 += 8;
            pa2 += 8;
            pb += 8;

            /*
            this is unshuffled version of code above
            
            vx  = _mm_load_pd(pb);
            va0 = _mm_load_pd(pa0);            
            va1 = _mm_load_pd(pa1);
            va2 = _mm_load_pd(pa2);
            
            va0 = _mm_mul_pd(va0,vx);
            va1 = _mm_mul_pd(va1,vx);
            va2 = _mm_mul_pd(va2,vx);
            
            v0 = _mm_add_pd(va0,v0);
            v1 = _mm_add_pd(va1,v1);
            v2 = _mm_add_pd(va2,v2);
            
            vx  = _mm_load_pd(pb+2);
            va0 = _mm_load_pd(pa0+2);            
            va1 = _mm_load_pd(pa1+2);
            va2 = _mm_load_pd(pa2+2);
            
            va0 = _mm_mul_pd(va0,vx);
            va1 = _mm_mul_pd(va1,vx);
            va2 = _mm_mul_pd(va2,vx);
            
            v0 = _mm_add_pd(va0,v0);
            v1 = _mm_add_pd(va1,v1);
            v2 = _mm_add_pd(va2,v2);

            vx  = _mm_load_pd(pb+4);
            va0 = _mm_load_pd(pa0+4);            
            va1 = _mm_load_pd(pa1+4);
            va2 = _mm_load_pd(pa2+4);
            
            va0 = _mm_mul_pd(va0,vx);
            va1 = _mm_mul_pd(va1,vx);
            va2 = _mm_mul_pd(va2,vx);
            
            v0 = _mm_add_pd(va0,v0);
            v1 = _mm_add_pd(va1,v1);
            v2 = _mm_add_pd(va2,v2);

            vx  = _mm_load_pd(pb+6);
            va0 = _mm_load_pd(pa0+6);
            va1 = _mm_load_pd(pa1+6);
            va2 = _mm_load_pd(pa2+6);
            
            va0 = _mm_mul_pd(va0,vx);
            va1 = _mm_mul_pd(va1,vx);
            va2 = _mm_mul_pd(va2,vx);
            
            v0 = _mm_add_pd(va0,v0);
            v1 = _mm_add_pd(va1,v1);
            v2 = _mm_add_pd(va2,v2);
            */
        }
        for(k=0; k<nb2; k++)
        {
            vx  = _mm_load_pd(pb);
            va0 = _mm_load_pd(pa0);
            va1 = _mm_load_pd(pa1);
            va2 = _mm_load_pd(pa2);
            
            va0 = _mm_mul_pd(va0,vx);
            v0 = _mm_add_pd(va0,v0);
            va1 = _mm_mul_pd(va1,vx);
            v1 = _mm_add_pd(va1,v1);
            va2 = _mm_mul_pd(va2,vx);
            v2 = _mm_add_pd(va2,v2);
            
            pa0 += 2;
            pa1 += 2;
            pa2 += 2;
            pb += 2;
        }
        for(k=0; k<ntail; k++)
        {
            vx  = _mm_load1_pd(pb);
            va0 = _mm_load1_pd(pa0);
            va1 = _mm_load1_pd(pa1);
            va2 = _mm_load1_pd(pa2);
            
            va0 = _mm_mul_sd(va0,vx);
            v0 = _mm_add_sd(v0,va0);
            va1 = _mm_mul_sd(va1,vx);
            v1 = _mm_add_sd(v1,va1);
            va2 = _mm_mul_sd(va2,vx);
            v2 = _mm_add_sd(v2,va2);
        }        
        vtmp = _mm_add_pd(_mm_unpacklo_pd(v0,v1),_mm_unpackhi_pd(v0,v1));
        _mm_storel_pd(&row0, vtmp);
        _mm_storeh_pd(&row1, vtmp);
        v2 = _mm_add_sd(_mm_shuffle_pd(v2,v2,1),v2);
        _mm_storel_pd(&row2, v2);
        if( beta!=0 )
        {
            y[0] = beta*y[0]+alpha*row0;
            y[stride] = beta*y[stride]+alpha*row1;
            y[2*stride] = beta*y[2*stride]+alpha*row2;
        }
        else
        {
            y[0] = alpha*row0;
            y[stride] = alpha*row1;
            y[2*stride] = alpha*row2;
        }
        y+=3*stride;
    }
    for(i=0; i<mtail; i++)
    {
        double row0;
        row0 = 0;
        pb = x;
        pa0 = a;
        a += alglib_r_block;
        for(k=0; k<n2; k++)
        {
            row0 += pb[0]*pa0[0]+pb[1]*pa0[1];            
            pa0 += 2;
            pb += 2;
        }
        if( n%2 )
            row0 += pb[0]*pa0[0];
        if( beta!=0 )
            y[0] = beta*y[0]+alpha*row0;
        else
            y[0] = alpha*row0;
        y+=stride;
    }
}
#endif


/*************************************************************************
This subroutine calculates fast MxN complex matrix-vector product:

    y := beta*y + alpha*A*x

using generic C code, where A, x, y, alpha and beta are complex.

If beta is zero, we do not use previous values of y (they are  overwritten
by alpha*A*x without ever being read). However, when  alpha  is  zero,  we 
still calculate A*x and  multiply  it  by  alpha  (this distinction can be
important when A or x contain infinities/NANs).

IMPORTANT:
* 0<=M<=alglib_c_block, 0<=N<=alglib_c_block
* A must be stored in row-major order, as sequence of double precision
  pairs. Stride is alglib_c_block (it is measured in pairs of doubles, not
  in doubles).
* Y may be referenced by cy (pointer to ae_complex) or
  dy (pointer to array of double precision pair) depending on what type of 
  output you wish. Pass pointer to Y as one of these parameters,
  AND SET OTHER PARAMETER TO NULL.
* both A and x must be aligned; y may be non-aligned.
*************************************************************************/
void _ialglib_cmv(ae_int_t m, ae_int_t n, const double *a, const double *x, ae_complex *cy, double *dy, ae_int_t stride, ae_complex alpha, ae_complex beta)
{
    ae_int_t i, j;
    const double *pa, *parow, *pb;

    parow = a;
    for(i=0; i<m; i++)
    {
        double v0 = 0, v1 = 0;
        pa = parow;
        pb = x;
        for(j=0; j<n; j++)
        {
            v0 += pa[0]*pb[0];
            v1 += pa[0]*pb[1];
            v0 -= pa[1]*pb[1];
            v1 += pa[1]*pb[0];

            pa  += 2;
            pb  += 2;
        }
        if( cy!=NULL )
        {
            double tx = (beta.x*cy->x-beta.y*cy->y)+(alpha.x*v0-alpha.y*v1);
            double ty = (beta.x*cy->y+beta.y*cy->x)+(alpha.x*v1+alpha.y*v0);
            cy->x = tx;
            cy->y = ty;
            cy+=stride;
        }
        else
        {
            double tx = (beta.x*dy[0]-beta.y*dy[1])+(alpha.x*v0-alpha.y*v1);
            double ty = (beta.x*dy[1]+beta.y*dy[0])+(alpha.x*v1+alpha.y*v0);
            dy[0] = tx;
            dy[1] = ty;
            dy += 2*stride;
        }
        parow += 2*alglib_c_block;
    }
}


/*************************************************************************
This subroutine calculates fast MxN complex matrix-vector product:

    y := beta*y + alpha*A*x

using generic C code, where A, x, y, alpha and beta are complex.

If beta is zero, we do not use previous values of y (they are  overwritten
by alpha*A*x without ever being read). However, when  alpha  is  zero,  we 
still calculate A*x and  multiply  it  by  alpha  (this distinction can be
important when A or x contain infinities/NANs).

IMPORTANT:
* 0<=M<=alglib_c_block, 0<=N<=alglib_c_block
* A must be stored in row-major order, as sequence of double precision
  pairs. Stride is alglib_c_block (it is measured in pairs of doubles, not
  in doubles).
* Y may be referenced by cy (pointer to ae_complex) or
  dy (pointer to array of double precision pair) depending on what type of 
  output you wish. Pass pointer to Y as one of these parameters,
  AND SET OTHER PARAMETER TO NULL.
* both A and x must be aligned; y may be non-aligned.

This function supports SSE2; it can be used when:
1. AE_HAS_SSE2_INTRINSICS was defined (checked at compile-time)
2. ae_cpuid() result contains CPU_SSE2 (checked at run-time)

If (1) is failed, this function will be undefined. If (2) is failed,  call 
to this function will probably crash your system. 

If  you  want  to  know  whether  it  is safe to call it, you should check 
results  of  ae_cpuid(). If CPU_SSE2 bit is set, this function is callable 
and will do its work.
*************************************************************************/
#if defined(AE_HAS_SSE2_INTRINSICS)
void _ialglib_cmv_sse2(ae_int_t m, ae_int_t n, const double *a, const double *x, ae_complex *cy, double *dy, ae_int_t stride, ae_complex alpha, ae_complex beta)
{
    ae_int_t i, j, m2;
    const double *pa0, *pa1, *parow, *pb;
    __m128d vbeta, vbetax, vbetay;
    __m128d valpha, valphax, valphay;
    
    m2 = m/2;
    parow = a;
    if( cy!=NULL )
    {
        dy = (double*)cy;
        cy = NULL;
    }
    vbeta = _mm_loadh_pd(_mm_load_sd(&beta.x),&beta.y);
    vbetax = _mm_unpacklo_pd(vbeta,vbeta);
    vbetay = _mm_unpackhi_pd(vbeta,vbeta);
    valpha = _mm_loadh_pd(_mm_load_sd(&alpha.x),&alpha.y);
    valphax = _mm_unpacklo_pd(valpha,valpha);
    valphay = _mm_unpackhi_pd(valpha,valpha);
    for(i=0; i<m2; i++)
    {
        __m128d vx, vy, vt0, vt1, vt2, vt3, vt4, vt5, vrx, vry, vtx, vty;
        pa0 = parow;
        pa1 = parow+2*alglib_c_block;
        pb = x;
        vx = _mm_setzero_pd();
        vy = _mm_setzero_pd();
        for(j=0; j<n; j++)
        {
            vt0 = _mm_load1_pd(pb);
            vt1 = _mm_load1_pd(pb+1);
            vt2 = _mm_load_pd(pa0);
            vt3 = _mm_load_pd(pa1);
            vt5 = _mm_unpacklo_pd(vt2,vt3);
            vt4 = _mm_unpackhi_pd(vt2,vt3);
            vt2 = vt5;
            vt3 = vt4;
            
            vt2 = _mm_mul_pd(vt2,vt0);
            vx = _mm_add_pd(vx,vt2);
            vt3 = _mm_mul_pd(vt3,vt1);
            vx = _mm_sub_pd(vx,vt3);
            vt4 = _mm_mul_pd(vt4,vt0);
            vy = _mm_add_pd(vy,vt4);
            vt5 = _mm_mul_pd(vt5,vt1);
            vy = _mm_add_pd(vy,vt5);
            
            pa0 += 2;
            pa1 += 2;
            pb  += 2;
        }
        if( beta.x==0.0 && beta.y==0.0 )
        {
            vrx = _mm_setzero_pd();
            vry = _mm_setzero_pd();
        }
        else
        {
            vtx = _mm_loadh_pd(_mm_load_sd(dy+0),dy+2*stride+0);
            vty = _mm_loadh_pd(_mm_load_sd(dy+1),dy+2*stride+1);
            vrx = _mm_sub_pd(_mm_mul_pd(vbetax,vtx),_mm_mul_pd(vbetay,vty));
            vry = _mm_add_pd(_mm_mul_pd(vbetax,vty),_mm_mul_pd(vbetay,vtx));
        }
        vtx = _mm_sub_pd(_mm_mul_pd(valphax,vx),_mm_mul_pd(valphay,vy));
        vty = _mm_add_pd(_mm_mul_pd(valphax,vy),_mm_mul_pd(valphay,vx));
        vrx = _mm_add_pd(vrx,vtx);
        vry = _mm_add_pd(vry,vty);
        _mm_storel_pd(dy+0,          vrx);
        _mm_storeh_pd(dy+2*stride+0, vrx);
        _mm_storel_pd(dy+1,          vry);
        _mm_storeh_pd(dy+2*stride+1, vry);
        dy += 4*stride;        
        parow += 4*alglib_c_block;
    }
    if( m%2 )
    {
        double v0 = 0, v1 = 0;
        double tx, ty;
        pa0 = parow;
        pb = x;
        for(j=0; j<n; j++)
        {
            v0 += pa0[0]*pb[0];
            v1 += pa0[0]*pb[1];
            v0 -= pa0[1]*pb[1];
            v1 += pa0[1]*pb[0];

            pa0 += 2;
            pb  += 2;
        }
        if( beta.x==0.0 && beta.y==0.0 )
        {
            tx = 0.0;
            ty = 0.0;
        }
        else
        {
            tx = beta.x*dy[0]-beta.y*dy[1];
            ty = beta.x*dy[1]+beta.y*dy[0];
        }
        tx += alpha.x*v0-alpha.y*v1;
        ty += alpha.x*v1+alpha.y*v0;
        dy[0] = tx;
        dy[1] = ty;
        dy += 2*stride;
        parow += 2*alglib_c_block;
    }
}
#endif

/********************************************************************
This subroutine sets vector to zero
********************************************************************/
void _ialglib_vzero(ae_int_t n, double *p, ae_int_t stride)
{
    ae_int_t i;
    if( stride==1 )
    {
        for(i=0; i<n; i++,p++)
            *p = 0.0;
    }
    else
    {
        for(i=0; i<n; i++,p+=stride)
            *p = 0.0;
    }
}

/********************************************************************
This subroutine sets vector to zero
********************************************************************/
void _ialglib_vzero_complex(ae_int_t n, ae_complex *p, ae_int_t stride)
{
    ae_int_t i;
    if( stride==1 )
    {
        for(i=0; i<n; i++,p++)
        {
            p->x = 0.0;
            p->y = 0.0;
        }
    }
    else
    {
        for(i=0; i<n; i++,p+=stride)
        {
            p->x = 0.0;
            p->y = 0.0;
        }
    }
}


/********************************************************************
This subroutine copies unaligned real vector
********************************************************************/
void _ialglib_vcopy(ae_int_t n, const double *a, ae_int_t stridea, double *b, ae_int_t strideb)
{
    ae_int_t i, n2;
    if( stridea==1 && strideb==1 )
    {
        n2 = n/2;
        for(i=n2; i!=0; i--, a+=2, b+=2)
        {
            b[0] = a[0];
            b[1] = a[1];
        }
        if( n%2!=0 )
            b[0] = a[0];
    }
    else
    {
        for(i=0; i<n; i++,a+=stridea,b+=strideb)
            *b = *a;
    }
}


/********************************************************************
This subroutine copies unaligned complex vector
(passed as ae_complex*)

1. strideb is stride measured in complex numbers, not doubles
2. conj may be "N" (no conj.) or "C" (conj.)
********************************************************************/
void _ialglib_vcopy_complex(ae_int_t n, const ae_complex *a, ae_int_t stridea, double *b, ae_int_t strideb, const char *conj)
{
    ae_int_t i;

    /*
     * more general case
     */
    if( conj[0]=='N' || conj[0]=='n' )
    {
        for(i=0; i<n; i++,a+=stridea,b+=2*strideb)
        {
            b[0] = a->x;
            b[1] = a->y;
        }
    }
    else
    {
        for(i=0; i<n; i++,a+=stridea,b+=2*strideb)
        {
            b[0] = a->x;
            b[1] = -a->y;
        }
    }
}


/********************************************************************
This subroutine copies unaligned complex vector (passed as double*)

1. strideb is stride measured in complex numbers, not doubles
2. conj may be "N" (no conj.) or "C" (conj.)
********************************************************************/
void _ialglib_vcopy_dcomplex(ae_int_t n, const double *a, ae_int_t stridea, double *b, ae_int_t strideb, const char *conj)
{
    ae_int_t i;

    /*
     * more general case
     */
    if( conj[0]=='N' || conj[0]=='n' )
    {
        for(i=0; i<n; i++,a+=2*stridea,b+=2*strideb)
        {
            b[0] = a[0];
            b[1] = a[1];
        }
    }
    else
    {
        for(i=0; i<n; i++,a+=2*stridea,b+=2*strideb)
        {
            b[0] = a[0];
            b[1] = -a[1];
        }
    }
}


/********************************************************************
This subroutine copies matrix from  non-aligned non-contigous storage
to aligned contigous storage

A:
* MxN
* non-aligned
* non-contigous
* may be transformed during copying (as prescribed by op)

B:
* alglib_r_block*alglib_r_block (only MxN/NxM submatrix is used)
* aligned
* stride is alglib_r_block

Transformation types:
* 0 - no transform
* 1 - transposition
********************************************************************/
void _ialglib_mcopyblock(ae_int_t m, ae_int_t n, const double *a, ae_int_t op, ae_int_t stride, double *b)
{
    ae_int_t i, j, n2;
    const double *psrc;
    double *pdst;
    if( op==0 )
    {
        n2 = n/2;
        for(i=0,psrc=a; i<m; i++,a+=stride,b+=alglib_r_block,psrc=a)
        {
            for(j=0,pdst=b; j<n2; j++,pdst+=2,psrc+=2)
            {
                pdst[0] = psrc[0];
                pdst[1] = psrc[1];
            }
            if( n%2!=0 )
                pdst[0] = psrc[0];
        }
    }
    else
    {
        n2 = n/2;
        for(i=0,psrc=a; i<m; i++,a+=stride,b+=1,psrc=a)
        {
            for(j=0,pdst=b; j<n2; j++,pdst+=alglib_twice_r_block,psrc+=2)
            {
                pdst[0] = psrc[0];
                pdst[alglib_r_block] = psrc[1];
            }
            if( n%2!=0 )
                pdst[0] = psrc[0];
        }
    }
}


/********************************************************************
This subroutine copies matrix from  non-aligned non-contigous storage
to aligned contigous storage

A:
* MxN
* non-aligned
* non-contigous
* may be transformed during copying (as prescribed by op)

B:
* alglib_r_block*alglib_r_block (only MxN/NxM submatrix is used)
* aligned
* stride is alglib_r_block

Transformation types:
* 0 - no transform
* 1 - transposition

This function supports SSE2; it can be used when:
1. AE_HAS_SSE2_INTRINSICS was defined (checked at compile-time)
2. ae_cpuid() result contains CPU_SSE2 (checked at run-time)

If (1) is failed, this function will be undefined. If (2) is failed,  call 
to this function will probably crash your system. 

If  you  want  to  know  whether  it  is safe to call it, you should check 
results  of  ae_cpuid(). If CPU_SSE2 bit is set, this function is callable 
and will do its work.
********************************************************************/
#if defined(AE_HAS_SSE2_INTRINSICS)
void _ialglib_mcopyblock_sse2(ae_int_t m, ae_int_t n, const double *a, ae_int_t op, ae_int_t stride, double *b)
{
    ae_int_t i, j, mb2;
    const double *psrc0, *psrc1;
    double *pdst;
    if( op==0 )
    {
        ae_int_t nb8, ntail;
        nb8 = n/8;
        ntail = n-8*nb8;
        for(i=0,psrc0=a; i<m; i++,a+=stride,b+=alglib_r_block,psrc0=a)
        {
            pdst=b;
            for(j=0; j<nb8; j++)
            {
                __m128d v0, v1;
                v0 = _mm_loadu_pd(psrc0);
                _mm_store_pd(pdst, v0);
                v1 = _mm_loadu_pd(psrc0+2);
                _mm_store_pd(pdst+2, v1);
                v1 = _mm_loadu_pd(psrc0+4);
                _mm_store_pd(pdst+4, v1);
                v1 = _mm_loadu_pd(psrc0+6);
                _mm_store_pd(pdst+6, v1);
                pdst+=8;
                psrc0+=8;
            }
            for(j=0; j<ntail; j++)
                pdst[j] = psrc0[j];
        }
    }
    else
    {
        const double *arow0, *arow1;
        double *bcol0, *bcol1, *pdst0, *pdst1;
        ae_int_t nb4, ntail, n2;
                
        n2 = n/2;
        mb2 = m/2;
        nb4 = n/4;
        ntail = n-4*nb4;
        
        arow0 = a;
        arow1 = a+stride;
        bcol0 = b;
        bcol1 = b+1;
        for(i=0; i<mb2; i++)
        {
            psrc0 = arow0;
            psrc1 = arow1;
            pdst0 = bcol0;
            pdst1 = bcol1;
            for(j=0; j<nb4; j++)
            {
                __m128d v0, v1, v2, v3;
                v0 = _mm_loadu_pd(psrc0);
                v1 = _mm_loadu_pd(psrc1);
                v2 = _mm_loadu_pd(psrc0+2);
                v3 = _mm_loadu_pd(psrc1+2);
                _mm_store_pd(pdst0, _mm_unpacklo_pd(v0,v1));
                _mm_store_pd(pdst0+alglib_r_block, _mm_unpackhi_pd(v0,v1));                
                _mm_store_pd(pdst0+2*alglib_r_block, _mm_unpacklo_pd(v2,v3));
                _mm_store_pd(pdst0+3*alglib_r_block, _mm_unpackhi_pd(v2,v3));

                pdst0 += 4*alglib_r_block;
                pdst1 += 4*alglib_r_block;
                psrc0 += 4;
                psrc1 += 4;
            }
            for(j=0; j<ntail; j++)
            {
                pdst0[0] = psrc0[0];
                pdst1[0] = psrc1[0];
                pdst0 += alglib_r_block;
                pdst1 += alglib_r_block;
                psrc0 += 1;
                psrc1 += 1;
            }
            arow0 += 2*stride;
            arow1 += 2*stride;
            bcol0 += 2;
            bcol1 += 2;
        }
        if( m%2 )
        {
            psrc0 = arow0;
            pdst0 = bcol0;
            for(j=0; j<n2; j++)
            {
                pdst0[0] = psrc0[0];
                pdst0[alglib_r_block] = psrc0[1];
                pdst0 += alglib_twice_r_block;
                psrc0 += 2;
            }
            if( n%2!=0 )
                pdst0[0] = psrc0[0];
        }
    }
}
#endif


/********************************************************************
This subroutine copies matrix from  aligned contigous storage to non-
aligned non-contigous storage

A:
* MxN
* aligned
* contigous
* stride is alglib_r_block
* may be transformed during copying (as prescribed by op)

B:
* alglib_r_block*alglib_r_block (only MxN/NxM submatrix is used)
* non-aligned, non-contigous

Transformation types:
* 0 - no transform
* 1 - transposition
********************************************************************/
void _ialglib_mcopyunblock(ae_int_t m, ae_int_t n, const double *a, ae_int_t op, double *b, ae_int_t stride)
{
    ae_int_t i, j, n2;
    const double *psrc;
    double *pdst;
    if( op==0 )
    {
        n2 = n/2;
        for(i=0,psrc=a; i<m; i++,a+=alglib_r_block,b+=stride,psrc=a)
        {
            for(j=0,pdst=b; j<n2; j++,pdst+=2,psrc+=2)
            {
                pdst[0] = psrc[0];
                pdst[1] = psrc[1];
            }
            if( n%2!=0 )
                pdst[0] = psrc[0];
        }
    }
    else
    {
        n2 = n/2;
        for(i=0,psrc=a; i<m; i++,a++,b+=stride,psrc=a)
        {
            for(j=0,pdst=b; j<n2; j++,pdst+=2,psrc+=alglib_twice_r_block)
            {
                pdst[0] = psrc[0];
                pdst[1] = psrc[alglib_r_block];
            }
            if( n%2!=0 )
                pdst[0] = psrc[0];
        }
    }
}


/********************************************************************
This subroutine copies matrix from  non-aligned non-contigous storage
to aligned contigous storage

A:
* MxN
* non-aligned
* non-contigous
* may be transformed during copying (as prescribed by op)
* pointer to ae_complex is passed

B:
* 2*alglib_c_block*alglib_c_block doubles (only MxN/NxM submatrix is used)
* aligned
* stride is alglib_c_block
* pointer to double is passed

Transformation types:
* 0 - no transform
* 1 - transposition
* 2 - conjugate transposition
* 3 - conjugate, but no  transposition
********************************************************************/
void _ialglib_mcopyblock_complex(ae_int_t m, ae_int_t n, const ae_complex *a, ae_int_t op, ae_int_t stride, double *b)
{
    ae_int_t i, j;
    const ae_complex *psrc;
    double *pdst;
    if( op==0 )
    {
        for(i=0,psrc=a; i<m; i++,a+=stride,b+=alglib_twice_c_block,psrc=a)
            for(j=0,pdst=b; j<n; j++,pdst+=2,psrc++)
            {
                pdst[0] = psrc->x;
                pdst[1] = psrc->y;
            }
    }
    if( op==1 )
    {
        for(i=0,psrc=a; i<m; i++,a+=stride,b+=2,psrc=a)
            for(j=0,pdst=b; j<n; j++,pdst+=alglib_twice_c_block,psrc++)
            {
                pdst[0] = psrc->x;
                pdst[1] = psrc->y;
            }
    }
    if( op==2 )
    {
        for(i=0,psrc=a; i<m; i++,a+=stride,b+=2,psrc=a)
            for(j=0,pdst=b; j<n; j++,pdst+=alglib_twice_c_block,psrc++)
            {
                pdst[0] = psrc->x;
                pdst[1] = -psrc->y;
            }
    }
    if( op==3 )
    {
        for(i=0,psrc=a; i<m; i++,a+=stride,b+=alglib_twice_c_block,psrc=a)
            for(j=0,pdst=b; j<n; j++,pdst+=2,psrc++)
            {
                pdst[0] = psrc->x;
                pdst[1] = -psrc->y;
            }
    }
}


/********************************************************************
This subroutine copies matrix from aligned contigous storage to
non-aligned non-contigous storage

A:
* 2*alglib_c_block*alglib_c_block doubles (only MxN submatrix is used)
* aligned
* stride is alglib_c_block
* pointer to double is passed
* may be transformed during copying (as prescribed by op)

B:
* MxN
* non-aligned
* non-contigous
* pointer to ae_complex is passed

Transformation types:
* 0 - no transform
* 1 - transposition
* 2 - conjugate transposition
* 3 - conjugate, but no  transposition
********************************************************************/
void _ialglib_mcopyunblock_complex(ae_int_t m, ae_int_t n, const double *a, ae_int_t op, ae_complex* b, ae_int_t stride)
{
    ae_int_t i, j;
    const double *psrc;
    ae_complex *pdst;
    if( op==0 )
    {
        for(i=0,psrc=a; i<m; i++,a+=alglib_twice_c_block,b+=stride,psrc=a)
            for(j=0,pdst=b; j<n; j++,pdst++,psrc+=2)
            {
                pdst->x = psrc[0];
                pdst->y = psrc[1];
            }
    }
    if( op==1 )
    {
        for(i=0,psrc=a; i<m; i++,a+=2,b+=stride,psrc=a)
            for(j=0,pdst=b; j<n; j++,pdst++,psrc+=alglib_twice_c_block)
            {
                pdst->x = psrc[0];
                pdst->y = psrc[1];
            }
    }
    if( op==2 )
    {
        for(i=0,psrc=a; i<m; i++,a+=2,b+=stride,psrc=a)
            for(j=0,pdst=b; j<n; j++,pdst++,psrc+=alglib_twice_c_block)
            {
                pdst->x = psrc[0];
                pdst->y = -psrc[1];
            }
    }
    if( op==3 )
    {
        for(i=0,psrc=a; i<m; i++,a+=alglib_twice_c_block,b+=stride,psrc=a)
            for(j=0,pdst=b; j<n; j++,pdst++,psrc+=2)
            {
                pdst->x = psrc[0];
                pdst->y = -psrc[1];
            }
    }
}


/********************************************************************
Real GEMM kernel
********************************************************************/
ae_bool _ialglib_rmatrixgemm(ae_int_t m,
     ae_int_t n,
     ae_int_t k,
     double alpha,
     double *_a,
     ae_int_t _a_stride,
     ae_int_t optypea,
     double *_b,
     ae_int_t _b_stride,
     ae_int_t optypeb,
     double beta,
     double *_c,
     ae_int_t _c_stride)
{
    int i;
    double *crow;
    double _abuf[alglib_r_block+alglib_simd_alignment];
    double _bbuf[alglib_r_block*alglib_r_block+alglib_simd_alignment];
    double * const abuf = (double * ) ae_align(_abuf,alglib_simd_alignment);
    double * const b    = (double * ) ae_align(_bbuf,alglib_simd_alignment);
    void (*rmv)(ae_int_t, ae_int_t, const double *, const double *, double *, ae_int_t, double, double) = &_ialglib_rmv;
    void (*mcopyblock)(ae_int_t, ae_int_t, const double *, ae_int_t, ae_int_t, double *) = &_ialglib_mcopyblock;
    
    if( m>alglib_r_block || n>alglib_r_block || k>alglib_r_block || m<=0 || n<=0 || k<=0 || alpha==0.0 )
        return ae_false;

    /*
     * Check for SSE2 support
     */
#ifdef AE_HAS_SSE2_INTRINSICS
    if( ae_cpuid() & CPU_SSE2 )
    {
        rmv = &_ialglib_rmv_sse2;
        mcopyblock = &_ialglib_mcopyblock_sse2;
    }
#endif
    
    /*
     * copy b
     */
    if( optypeb==0 )
        mcopyblock(k, n, _b, 1, _b_stride, b);
    else
        mcopyblock(n, k, _b, 0, _b_stride, b);

    /*
     * multiply B by A (from the right, by rows)
     * and store result in C
     */
    crow  = _c;
    if( optypea==0 )
    {
        const double *arow = _a;
        for(i=0; i<m; i++)
        {
            _ialglib_vcopy(k, arow, 1, abuf, 1);
            if( beta==0 )
                _ialglib_vzero(n, crow, 1);
            rmv(n, k, b, abuf, crow, 1, alpha, beta);
            crow += _c_stride;
            arow += _a_stride;
        }
    }
    else
    {
        const double *acol = _a;
        for(i=0; i<m; i++)
        {
            _ialglib_vcopy(k, acol, _a_stride, abuf, 1);
            if( beta==0 )
                _ialglib_vzero(n, crow, 1);
            rmv(n, k, b, abuf, crow, 1, alpha, beta);
            crow += _c_stride;
            acol++;
        }
    }
    return ae_true;
}


/********************************************************************
Complex GEMM kernel
********************************************************************/
ae_bool _ialglib_cmatrixgemm(ae_int_t m,
     ae_int_t n,
     ae_int_t k,
     ae_complex alpha,
     ae_complex *_a,
     ae_int_t _a_stride,
     ae_int_t optypea,
     ae_complex *_b,
     ae_int_t _b_stride,
     ae_int_t optypeb,
     ae_complex beta,
     ae_complex *_c,
     ae_int_t _c_stride)
 {
    const ae_complex *arow;
    ae_complex *crow;
    ae_int_t i;
    double _loc_abuf[2*alglib_c_block+alglib_simd_alignment];
    double _loc_b[2*alglib_c_block*alglib_c_block+alglib_simd_alignment];
    double * const abuf = (double *)ae_align(_loc_abuf,alglib_simd_alignment);
    double * const b    = (double *)ae_align(_loc_b,   alglib_simd_alignment);
    ae_int_t brows;
    ae_int_t bcols;
    void (*cmv)(ae_int_t, ae_int_t, const double *, const double *, ae_complex *, double *, ae_int_t, ae_complex, ae_complex) = &_ialglib_cmv;
    
    if( m>alglib_c_block || n>alglib_c_block || k>alglib_c_block )
        return ae_false;

    /*
     * Check for SSE2 support
     */
#ifdef AE_HAS_SSE2_INTRINSICS
    if( ae_cpuid() & CPU_SSE2 )
    {
        cmv = &_ialglib_cmv_sse2;
    }    
#endif
    
    /*
     * copy b
     */
    brows = optypeb==0 ? k : n;
    bcols = optypeb==0 ? n : k;
    if( optypeb==0 )
        _ialglib_mcopyblock_complex(brows, bcols, _b, 1, _b_stride, b);
    if( optypeb==1 )
        _ialglib_mcopyblock_complex(brows, bcols, _b, 0, _b_stride, b);
    if( optypeb==2 )
        _ialglib_mcopyblock_complex(brows, bcols, _b, 3, _b_stride, b);

    /*
     * multiply B by A (from the right, by rows)
     * and store result in C
     */
    arow  = _a;
    crow  = _c;
    for(i=0; i<m; i++)
    {
        if( optypea==0 )
        {
            _ialglib_vcopy_complex(k, arow, 1, abuf, 1, "No conj");
            arow += _a_stride;
        }
        else if( optypea==1 )
        {
            _ialglib_vcopy_complex(k, arow, _a_stride, abuf, 1, "No conj");
            arow++;
        }
        else
        {
            _ialglib_vcopy_complex(k, arow, _a_stride, abuf, 1, "Conj");
            arow++;
        }
        if( beta.x==0 && beta.y==0 )
            _ialglib_vzero_complex(n, crow, 1);
        cmv(n, k, b, abuf, crow, NULL, 1, alpha, beta);
        crow += _c_stride;
    }
    return ae_true;
}


/********************************************************************
complex TRSM kernel
********************************************************************/
ae_bool _ialglib_cmatrixrighttrsm(ae_int_t m,
     ae_int_t n,
     ae_complex *_a,
     ae_int_t _a_stride,
     ae_bool isupper,
     ae_bool isunit,
     ae_int_t optype,
     ae_complex *_x,
     ae_int_t _x_stride)
{
    /*
     * local buffers
     */
    double *pdiag;
    ae_int_t i;
    double _loc_abuf[2*alglib_c_block*alglib_c_block+alglib_simd_alignment];
    double _loc_xbuf[2*alglib_c_block*alglib_c_block+alglib_simd_alignment];
    double _loc_tmpbuf[2*alglib_c_block+alglib_simd_alignment];
    double * const abuf   = (double*)ae_align(_loc_abuf,  alglib_simd_alignment);
    double * const xbuf   = (double*)ae_align(_loc_xbuf,  alglib_simd_alignment);
    double * const tmpbuf = (double*)ae_align(_loc_tmpbuf,alglib_simd_alignment);
    ae_bool uppera;
    void (*cmv)(ae_int_t, ae_int_t, const double *, const double *, ae_complex *, double *, ae_int_t, ae_complex, ae_complex) = &_ialglib_cmv;
    
    if( m>alglib_c_block || n>alglib_c_block )
        return ae_false;

    /*
     * Check for SSE2 support
     */
#ifdef AE_HAS_SSE2_INTRINSICS
    if( ae_cpuid() & CPU_SSE2 )
    {
        cmv = &_ialglib_cmv_sse2;
    }    
#endif
    
    /*
     * Prepare
     */
    _ialglib_mcopyblock_complex(n, n, _a, optype, _a_stride, abuf);
    _ialglib_mcopyblock_complex(m, n, _x, 0, _x_stride, xbuf);
    if( isunit )
        for(i=0,pdiag=abuf; i<n; i++,pdiag+=2*(alglib_c_block+1))
        {
            pdiag[0] = 1.0;
            pdiag[1] = 0.0;
        }
    if( optype==0 )
        uppera = isupper;
    else
        uppera = !isupper;

    /*
     * Solve Y*A^-1=X where A is upper or lower triangular
     */
    if( uppera )
    {
        for(i=0,pdiag=abuf; i<n; i++,pdiag+=2*(alglib_c_block+1))
        {
            ae_complex tmp_c;
            ae_complex beta;
            ae_complex alpha;
            tmp_c.x = pdiag[0];
            tmp_c.y = pdiag[1];
            beta = ae_c_d_div(1.0, tmp_c);
            alpha.x = -beta.x;
            alpha.y = -beta.y;
            _ialglib_vcopy_dcomplex(i, abuf+2*i, alglib_c_block, tmpbuf, 1, "No conj");
            cmv(m, i, xbuf, tmpbuf, NULL, xbuf+2*i, alglib_c_block, alpha, beta);
        }
        _ialglib_mcopyunblock_complex(m, n, xbuf, 0, _x, _x_stride);
    }
    else
    {
        for(i=n-1,pdiag=abuf+2*((n-1)*alglib_c_block+(n-1)); i>=0; i--,pdiag-=2*(alglib_c_block+1))
        {
            ae_complex tmp_c;
            ae_complex beta;
            ae_complex alpha;
            tmp_c.x = pdiag[0];
            tmp_c.y = pdiag[1];
            beta = ae_c_d_div(1.0, tmp_c);
            alpha.x = -beta.x;
            alpha.y = -beta.y;
            _ialglib_vcopy_dcomplex(n-1-i, pdiag+2*alglib_c_block, alglib_c_block, tmpbuf, 1, "No conj");
            cmv(m, n-1-i, xbuf+2*(i+1), tmpbuf, NULL, xbuf+2*i, alglib_c_block, alpha, beta);
        }
        _ialglib_mcopyunblock_complex(m, n, xbuf, 0, _x, _x_stride);
    }
    return ae_true;
}


/********************************************************************
real TRSM kernel
********************************************************************/
ae_bool _ialglib_rmatrixrighttrsm(ae_int_t m,
     ae_int_t n,
     double *_a,
     ae_int_t _a_stride,
     ae_bool isupper,
     ae_bool isunit,
     ae_int_t optype,
     double *_x,
     ae_int_t _x_stride)
{
    /*
     * local buffers
     */
    double *pdiag;
    ae_int_t i;
    double _loc_abuf[alglib_r_block*alglib_r_block+alglib_simd_alignment];
    double _loc_xbuf[alglib_r_block*alglib_r_block+alglib_simd_alignment];
    double _loc_tmpbuf[alglib_r_block+alglib_simd_alignment];
    double * const abuf   = (double *) ae_align(_loc_abuf,  alglib_simd_alignment);
    double * const xbuf   = (double *) ae_align(_loc_xbuf,  alglib_simd_alignment);
    double * const tmpbuf = (double *) ae_align(_loc_tmpbuf,alglib_simd_alignment);
    ae_bool uppera;
    void (*rmv)(ae_int_t, ae_int_t, const double *, const double *, double *, ae_int_t, double, double) = &_ialglib_rmv;
    void (*mcopyblock)(ae_int_t, ae_int_t, const double *, ae_int_t, ae_int_t, double *) = &_ialglib_mcopyblock;
    
    if( m>alglib_r_block || n>alglib_r_block )
        return ae_false;

    /*
     * Check for SSE2 support
     */
#ifdef AE_HAS_SSE2_INTRINSICS
    if( ae_cpuid() & CPU_SSE2 )
    {
        rmv = &_ialglib_rmv_sse2;
        mcopyblock = &_ialglib_mcopyblock_sse2;
    }    
#endif
    
    /*
     * Prepare
     */
    mcopyblock(n, n, _a, optype, _a_stride, abuf);
    mcopyblock(m, n, _x, 0, _x_stride, xbuf);
    if( isunit )
        for(i=0,pdiag=abuf; i<n; i++,pdiag+=alglib_r_block+1)
            *pdiag = 1.0;
    if( optype==0 )
        uppera = isupper;
    else
        uppera = !isupper;

    /*
     * Solve Y*A^-1=X where A is upper or lower triangular
     */
    if( uppera )
    {
        for(i=0,pdiag=abuf; i<n; i++,pdiag+=alglib_r_block+1)
        {
            double beta  = 1.0/(*pdiag);
            double alpha = -beta;
            _ialglib_vcopy(i, abuf+i, alglib_r_block, tmpbuf, 1);
            rmv(m, i, xbuf, tmpbuf, xbuf+i, alglib_r_block, alpha, beta);
        }
        _ialglib_mcopyunblock(m, n, xbuf, 0, _x, _x_stride);
    }
    else
    {
        for(i=n-1,pdiag=abuf+(n-1)*alglib_r_block+(n-1); i>=0; i--,pdiag-=alglib_r_block+1)
        {
            double beta = 1.0/(*pdiag);
            double alpha = -beta;
            _ialglib_vcopy(n-1-i, pdiag+alglib_r_block, alglib_r_block, tmpbuf+i+1, 1);
            rmv(m, n-1-i, xbuf+i+1, tmpbuf+i+1, xbuf+i, alglib_r_block, alpha, beta);
        }
        _ialglib_mcopyunblock(m, n, xbuf, 0, _x, _x_stride);
    }
    return ae_true;
}


/********************************************************************
complex TRSM kernel
********************************************************************/
ae_bool _ialglib_cmatrixlefttrsm(ae_int_t m,
     ae_int_t n,
     ae_complex *_a,
     ae_int_t _a_stride,
     ae_bool isupper,
     ae_bool isunit,
     ae_int_t optype,
     ae_complex *_x,
     ae_int_t _x_stride)
{
    /*
     * local buffers
     */
    double *pdiag, *arow;
    ae_int_t i;
    double _loc_abuf[2*alglib_c_block*alglib_c_block+alglib_simd_alignment];
    double _loc_xbuf[2*alglib_c_block*alglib_c_block+alglib_simd_alignment];
    double _loc_tmpbuf[2*alglib_c_block+alglib_simd_alignment];
    double * const abuf   = (double *) ae_align(_loc_abuf,  alglib_simd_alignment);
    double * const xbuf   = (double *) ae_align(_loc_xbuf,  alglib_simd_alignment);
    double * const tmpbuf = (double *) ae_align(_loc_tmpbuf,alglib_simd_alignment);
    ae_bool uppera;
    void (*cmv)(ae_int_t, ae_int_t, const double *, const double *, ae_complex *, double *, ae_int_t, ae_complex, ae_complex) = &_ialglib_cmv;
    
    if( m>alglib_c_block || n>alglib_c_block )
        return ae_false;

    /*
     * Check for SSE2 support
     */
#ifdef AE_HAS_SSE2_INTRINSICS
    if( ae_cpuid() & CPU_SSE2 )
    {
        cmv = &_ialglib_cmv_sse2;
    }    
#endif
    
    /*
     * Prepare
     * Transpose X (so we may use mv, which calculates A*x, but not x*A)
     */
    _ialglib_mcopyblock_complex(m, m, _a, optype, _a_stride, abuf);
    _ialglib_mcopyblock_complex(m, n, _x, 1, _x_stride, xbuf);
    if( isunit )
        for(i=0,pdiag=abuf; i<m; i++,pdiag+=2*(alglib_c_block+1))
        {
            pdiag[0] = 1.0;
            pdiag[1] = 0.0;
        }
    if( optype==0 )
        uppera = isupper;
    else
        uppera = !isupper;

    /*
     * Solve A^-1*Y^T=X^T where A is upper or lower triangular
     */
    if( uppera )
    {
        for(i=m-1,pdiag=abuf+2*((m-1)*alglib_c_block+(m-1)); i>=0; i--,pdiag-=2*(alglib_c_block+1))
        {
            ae_complex tmp_c;
            ae_complex beta;
            ae_complex alpha;
            tmp_c.x = pdiag[0];
            tmp_c.y = pdiag[1];
            beta = ae_c_d_div(1.0, tmp_c);
            alpha.x = -beta.x;
            alpha.y = -beta.y;
            _ialglib_vcopy_dcomplex(m-1-i, pdiag+2, 1, tmpbuf, 1, "No conj");
            cmv(n, m-1-i, xbuf+2*(i+1), tmpbuf, NULL, xbuf+2*i, alglib_c_block, alpha, beta);
        }
        _ialglib_mcopyunblock_complex(m, n, xbuf, 1, _x, _x_stride);
    }
    else
    {   for(i=0,pdiag=abuf,arow=abuf; i<m; i++,pdiag+=2*(alglib_c_block+1),arow+=2*alglib_c_block)
        {
            ae_complex tmp_c;
            ae_complex beta;
            ae_complex alpha;
            tmp_c.x = pdiag[0];
            tmp_c.y = pdiag[1];
            beta = ae_c_d_div(1.0, tmp_c);
            alpha.x = -beta.x;
            alpha.y = -beta.y;
            _ialglib_vcopy_dcomplex(i, arow, 1, tmpbuf, 1, "No conj");
            cmv(n, i, xbuf, tmpbuf, NULL, xbuf+2*i, alglib_c_block, alpha, beta);
        }
        _ialglib_mcopyunblock_complex(m, n, xbuf, 1, _x, _x_stride);
    }
    return ae_true;
}


/********************************************************************
real TRSM kernel
********************************************************************/
ae_bool _ialglib_rmatrixlefttrsm(ae_int_t m,
     ae_int_t n,
     double *_a,
     ae_int_t _a_stride,
     ae_bool isupper,
     ae_bool isunit,
     ae_int_t optype,
     double *_x,
     ae_int_t _x_stride)
{
    /*
     * local buffers
     */
    double *pdiag, *arow;
    ae_int_t i;
    double _loc_abuf[alglib_r_block*alglib_r_block+alglib_simd_alignment];
    double _loc_xbuf[alglib_r_block*alglib_r_block+alglib_simd_alignment];
    double _loc_tmpbuf[alglib_r_block+alglib_simd_alignment];
    double * const abuf   = (double *) ae_align(_loc_abuf,  alglib_simd_alignment);
    double * const xbuf   = (double *) ae_align(_loc_xbuf,  alglib_simd_alignment);
    double * const tmpbuf = (double *) ae_align(_loc_tmpbuf,alglib_simd_alignment);
    ae_bool uppera;
    void (*rmv)(ae_int_t, ae_int_t, const double *, const double *, double *, ae_int_t, double, double) = &_ialglib_rmv;
    void (*mcopyblock)(ae_int_t, ae_int_t, const double *, ae_int_t, ae_int_t, double *) = &_ialglib_mcopyblock;
    
    if( m>alglib_r_block || n>alglib_r_block )
        return ae_false;

    /*
     * Check for SSE2 support
     */
#ifdef AE_HAS_SSE2_INTRINSICS
    if( ae_cpuid() & CPU_SSE2 )
    {
        rmv = &_ialglib_rmv_sse2;
        mcopyblock = &_ialglib_mcopyblock_sse2;
    }    
#endif
    
    /*
     * Prepare
     * Transpose X (so we may use mv, which calculates A*x, but not x*A)
     */
    mcopyblock(m, m, _a, optype, _a_stride, abuf);
    mcopyblock(m, n, _x, 1, _x_stride, xbuf);
    if( isunit )
        for(i=0,pdiag=abuf; i<m; i++,pdiag+=alglib_r_block+1)
            *pdiag = 1.0;
    if( optype==0 )
        uppera = isupper;
    else
        uppera = !isupper;

    /*
     * Solve A^-1*Y^T=X^T where A is upper or lower triangular
     */
    if( uppera )
    {
        for(i=m-1,pdiag=abuf+(m-1)*alglib_r_block+(m-1); i>=0; i--,pdiag-=alglib_r_block+1)
        {
            double beta = 1.0/(*pdiag);
            double alpha = -beta;
            _ialglib_vcopy(m-1-i, pdiag+1, 1, tmpbuf+i+1, 1);
            rmv(n, m-1-i, xbuf+i+1, tmpbuf+i+1, xbuf+i, alglib_r_block, alpha, beta);
        }
        _ialglib_mcopyunblock(m, n, xbuf, 1, _x, _x_stride);
    }
    else
    {   for(i=0,pdiag=abuf,arow=abuf; i<m; i++,pdiag+=alglib_r_block+1,arow+=alglib_r_block)
        {
            double beta = 1.0/(*pdiag);
            double alpha = -beta;
            _ialglib_vcopy(i, arow, 1, tmpbuf, 1);
            rmv(n, i, xbuf, tmpbuf, xbuf+i, alglib_r_block, alpha, beta);
        }
        _ialglib_mcopyunblock(m, n, xbuf, 1, _x, _x_stride);
    }
    return ae_true;
}


/********************************************************************
complex SYRK kernel
********************************************************************/
ae_bool _ialglib_cmatrixherk(ae_int_t n,
     ae_int_t k,
     double alpha,
     ae_complex *_a,
     ae_int_t _a_stride,
     ae_int_t optypea,
     double beta,
     ae_complex *_c,
     ae_int_t _c_stride,
     ae_bool isupper)
{
    /*
     * local buffers
     */
    double *arow, *crow;
    ae_complex c_alpha, c_beta;
    ae_int_t i;
    double _loc_abuf[2*alglib_c_block*alglib_c_block+alglib_simd_alignment];
    double _loc_cbuf[2*alglib_c_block*alglib_c_block+alglib_simd_alignment];
    double _loc_tmpbuf[2*alglib_c_block+alglib_simd_alignment];
    double * const abuf   = (double *) ae_align(_loc_abuf,  alglib_simd_alignment);
    double * const cbuf   = (double *) ae_align(_loc_cbuf,  alglib_simd_alignment);
    double * const tmpbuf = (double *) ae_align(_loc_tmpbuf,alglib_simd_alignment);

    if( n>alglib_c_block || k>alglib_c_block )
        return ae_false;
    if( n==0 )
        return ae_true;

    /*
     * copy A and C, task is transformed to "A*A^H"-form.
     * if beta==0, then C is filled by zeros (and not referenced)
     *
     * alpha==0 or k==0 are correctly processed (A is not referenced)
     */
    c_alpha.x = alpha;
    c_alpha.y = 0;
    c_beta.x = beta;
    c_beta.y = 0;
    if( alpha==0 )
        k = 0;
    if( k>0 )
    {
        if( optypea==0 )
            _ialglib_mcopyblock_complex(n, k, _a, 3, _a_stride, abuf);
        else
            _ialglib_mcopyblock_complex(k, n, _a, 1, _a_stride, abuf);
    }
    _ialglib_mcopyblock_complex(n, n, _c, 0, _c_stride, cbuf);
    if( beta==0 )
    {
        for(i=0,crow=cbuf; i<n; i++,crow+=2*alglib_c_block)
            if( isupper )
                _ialglib_vzero(2*(n-i), crow+2*i, 1);
            else
                _ialglib_vzero(2*(i+1), crow, 1);
    }


    /*
     * update C
     */
    if( isupper )
    {
        for(i=0,arow=abuf,crow=cbuf; i<n; i++,arow+=2*alglib_c_block,crow+=2*alglib_c_block)
        {
            _ialglib_vcopy_dcomplex(k, arow, 1, tmpbuf, 1, "Conj");
            _ialglib_cmv(n-i, k, arow, tmpbuf, NULL, crow+2*i, 1, c_alpha, c_beta);
        }
    }
    else
    {
        for(i=0,arow=abuf,crow=cbuf; i<n; i++,arow+=2*alglib_c_block,crow+=2*alglib_c_block)
        {
            _ialglib_vcopy_dcomplex(k, arow, 1, tmpbuf, 1, "Conj");
            _ialglib_cmv(i+1, k, abuf, tmpbuf, NULL, crow, 1, c_alpha, c_beta);
        }
    }

    /*
     * copy back
     */
    _ialglib_mcopyunblock_complex(n, n, cbuf, 0, _c, _c_stride);

    return ae_true;
}


/********************************************************************
real SYRK kernel
********************************************************************/
ae_bool _ialglib_rmatrixsyrk(ae_int_t n,
     ae_int_t k,
     double alpha,
     double *_a,
     ae_int_t _a_stride,
     ae_int_t optypea,
     double beta,
     double *_c,
     ae_int_t _c_stride,
     ae_bool isupper)
{
    /*
     * local buffers
     */
    double *arow, *crow;
    ae_int_t i;
    double _loc_abuf[alglib_r_block*alglib_r_block+alglib_simd_alignment];
    double _loc_cbuf[alglib_r_block*alglib_r_block+alglib_simd_alignment];
    double * const abuf   = (double *) ae_align(_loc_abuf,  alglib_simd_alignment);
    double * const cbuf   = (double *) ae_align(_loc_cbuf,  alglib_simd_alignment);

    if( n>alglib_r_block || k>alglib_r_block )
        return ae_false;
    if( n==0 )
        return ae_true;

    /*
     * copy A and C, task is transformed to "A*A^T"-form.
     * if beta==0, then C is filled by zeros (and not referenced)
     *
     * alpha==0 or k==0 are correctly processed (A is not referenced)
     */
    if( alpha==0 )
        k = 0;
    if( k>0 )
    {
        if( optypea==0 )
            _ialglib_mcopyblock(n, k, _a, 0, _a_stride, abuf);
        else
            _ialglib_mcopyblock(k, n, _a, 1, _a_stride, abuf);
    }
    _ialglib_mcopyblock(n, n, _c, 0, _c_stride, cbuf);
    if( beta==0 )
    {
        for(i=0,crow=cbuf; i<n; i++,crow+=alglib_r_block)
            if( isupper )
                _ialglib_vzero(n-i, crow+i, 1);
            else
                _ialglib_vzero(i+1, crow, 1);
    }


    /*
     * update C
     */
    if( isupper )
    {
        for(i=0,arow=abuf,crow=cbuf; i<n; i++,arow+=alglib_r_block,crow+=alglib_r_block)
        {
            _ialglib_rmv(n-i, k, arow, arow, crow+i, 1, alpha, beta);
        }
    }
    else
    {
        for(i=0,arow=abuf,crow=cbuf; i<n; i++,arow+=alglib_r_block,crow+=alglib_r_block)
        {
            _ialglib_rmv(i+1, k, abuf, arow, crow, 1, alpha, beta);
        }
    }

    /*
     * copy back
     */
    _ialglib_mcopyunblock(n, n, cbuf, 0, _c, _c_stride);

    return ae_true;
}


/********************************************************************
complex rank-1 kernel
********************************************************************/
ae_bool _ialglib_cmatrixrank1(ae_int_t m,
     ae_int_t n,
     ae_complex *_a,
     ae_int_t _a_stride,
     ae_complex *_u,
     ae_complex *_v)
{
    /*
     * Locals
     */
    ae_complex *arow, *pu, *pv, *vtmp, *dst;
    ae_int_t n2 = n/2;
    ae_int_t i, j;
    
    /*
     * Quick exit
     */
    if( m<=0 || n<=0 )
        return ae_false;
    

    /*
     * update pairs of rows
     */
    arow  = _a;
    pu    = _u;
    vtmp  = _v;
    for(i=0; i<m; i++, arow+=_a_stride, pu++)
    {
        /*
         * update by two
         */
        for(j=0,pv=vtmp, dst=arow; j<n2; j++, dst+=2, pv+=2)
        {
            double ux  = pu[0].x;
            double uy  = pu[0].y;
            double v0x = pv[0].x;
            double v0y = pv[0].y;
            double v1x = pv[1].x;
            double v1y = pv[1].y;
            dst[0].x += ux*v0x-uy*v0y;
            dst[0].y += ux*v0y+uy*v0x;
            dst[1].x += ux*v1x-uy*v1y;
            dst[1].y += ux*v1y+uy*v1x;
        }

        /*
         * final update
         */
        if( n%2!=0 )
        {
            double ux = pu[0].x;
            double uy = pu[0].y;
            double vx = pv[0].x;
            double vy = pv[0].y;
            dst[0].x += ux*vx-uy*vy;
            dst[0].y += ux*vy+uy*vx;
        }
    }
    return ae_true;
}


/********************************************************************
real rank-1 kernel
deprecated version
********************************************************************/
ae_bool _ialglib_rmatrixrank1(ae_int_t m,
     ae_int_t n,
     double *_a,
     ae_int_t _a_stride,
     double *_u,
     double *_v)
{
    /*
     * Locals
     */
    double *arow0, *arow1, *pu, *pv, *vtmp, *dst0, *dst1;
    ae_int_t m2 = m/2;
    ae_int_t n2 = n/2;
    ae_int_t stride  = _a_stride;
    ae_int_t stride2 = 2*_a_stride;
    ae_int_t i, j;

    /*
     * Quick exit
     */
    if( m<=0 || n<=0 )
        return ae_false;
    
    /*
     * update pairs of rows
     */
    arow0 = _a;
    arow1 = arow0+stride;
    pu    = _u;
    vtmp  = _v;
    for(i=0; i<m2; i++,arow0+=stride2,arow1+=stride2,pu+=2)
    {
        /*
         * update by two
         */
        for(j=0,pv=vtmp, dst0=arow0, dst1=arow1; j<n2; j++, dst0+=2, dst1+=2, pv+=2)
        {
            dst0[0] += pu[0]*pv[0];
            dst0[1] += pu[0]*pv[1];
            dst1[0] += pu[1]*pv[0];
            dst1[1] += pu[1]*pv[1];
        }

        /*
         * final update
         */
        if( n%2!=0 )
        {
            dst0[0] += pu[0]*pv[0];
            dst1[0] += pu[1]*pv[0];
        }
    }

    /*
     * update last row
     */
    if( m%2!=0 )
    {
        /*
         * update by two
         */
        for(j=0,pv=vtmp, dst0=arow0; j<n2; j++, dst0+=2, pv+=2)
        {
            dst0[0] += pu[0]*pv[0];
            dst0[1] += pu[0]*pv[1];
        }

        /*
         * final update
         */
        if( n%2!=0 )
            dst0[0] += pu[0]*pv[0];
    }
    return ae_true;
}



/********************************************************************
real rank-1 kernel
deprecated version
********************************************************************/
ae_bool _ialglib_rmatrixger(ae_int_t m,
     ae_int_t n,
     double *_a,
     ae_int_t _a_stride,
     double alpha,
     double *_u,
     double *_v)
{
    /*
     * Locals
     */
    double *arow0, *arow1, *pu, *pv, *vtmp, *dst0, *dst1;
    ae_int_t m2 = m/2;
    ae_int_t n2 = n/2;
    ae_int_t stride  = _a_stride;
    ae_int_t stride2 = 2*_a_stride;
    ae_int_t i, j;

    /*
     * Quick exit
     */
    if( m<=0 || n<=0 || alpha==0.0 )
        return ae_false;
    
    /*
     * update pairs of rows
     */
    arow0 = _a;
    arow1 = arow0+stride;
    pu    = _u;
    vtmp  = _v;
    for(i=0; i<m2; i++,arow0+=stride2,arow1+=stride2,pu+=2)
    {
        double au0 = alpha*pu[0];
        double au1 = alpha*pu[1];
        
        /*
         * update by two
         */
        for(j=0,pv=vtmp, dst0=arow0, dst1=arow1; j<n2; j++, dst0+=2, dst1+=2, pv+=2)
        {
            dst0[0] += au0*pv[0];
            dst0[1] += au0*pv[1];
            dst1[0] += au1*pv[0];
            dst1[1] += au1*pv[1];
        }

        /*
         * final update
         */
        if( n%2!=0 )
        {
            dst0[0] += au0*pv[0];
            dst1[0] += au1*pv[0];
        }
    }

    /*
     * update last row
     */
    if( m%2!=0 )
    {
        double au0 = alpha*pu[0];
        
        /*
         * update by two
         */
        for(j=0,pv=vtmp, dst0=arow0; j<n2; j++, dst0+=2, pv+=2)
        {
            dst0[0] += au0*pv[0];
            dst0[1] += au0*pv[1];
        }

        /*
         * final update
         */
        if( n%2!=0 )
            dst0[0] += au0*pv[0];
    }
    return ae_true;
}

/********************************************************************
Interface functions for efficient kernels
********************************************************************/
ae_bool _ialglib_i_rmatrixgemmf(ae_int_t m,
     ae_int_t n,
     ae_int_t k,
     double alpha,
     ae_matrix *_a,
     ae_int_t ia,
     ae_int_t ja,
     ae_int_t optypea,
     ae_matrix *_b,
     ae_int_t ib,
     ae_int_t jb,
     ae_int_t optypeb,
     double beta,
     ae_matrix *_c,
     ae_int_t ic,
     ae_int_t jc)
{
    /* handle degenerate cases like zero matrices by ALGLIB - greatly simplifies passing data to ALGLIB kernel */
    if( alpha==0.0 || k==0 || n==0 || m==0)
        return ae_false;
    
    /* handle with optimized ALGLIB kernel */
    return _ialglib_rmatrixgemm(m, n, k, alpha, _a->ptr.pp_double[ia]+ja, _a->stride, optypea, _b->ptr.pp_double[ib]+jb, _b->stride, optypeb, beta, _c->ptr.pp_double[ic]+jc, _c->stride);
}

ae_bool _ialglib_i_cmatrixgemmf(ae_int_t m,
     ae_int_t n,
     ae_int_t k,
     ae_complex alpha,
     ae_matrix *_a,
     ae_int_t ia,
     ae_int_t ja,
     ae_int_t optypea,
     ae_matrix *_b,
     ae_int_t ib,
     ae_int_t jb,
     ae_int_t optypeb,
     ae_complex beta,
     ae_matrix *_c,
     ae_int_t ic,
     ae_int_t jc)
{
    /* handle degenerate cases like zero matrices by ALGLIB - greatly simplifies passing data to ALGLIB kernel */
    if( (alpha.x==0.0 && alpha.y==0) || k==0 || n==0 || m==0 )
        return ae_false;
    
    /* handle with optimized ALGLIB kernel */
    return _ialglib_cmatrixgemm(m, n, k, alpha, _a->ptr.pp_complex[ia]+ja, _a->stride, optypea, _b->ptr.pp_complex[ib]+jb, _b->stride, optypeb, beta, _c->ptr.pp_complex[ic]+jc, _c->stride);
}

ae_bool _ialglib_i_cmatrixrighttrsmf(ae_int_t m,
     ae_int_t n,
     ae_matrix *a,
     ae_int_t i1,
     ae_int_t j1,
     ae_bool isupper,
     ae_bool isunit,
     ae_int_t optype,
     ae_matrix *x,
     ae_int_t i2,
     ae_int_t j2)
{
    /* handle degenerate cases like zero matrices by ALGLIB - greatly simplifies passing data to ALGLIB kernel */
    if( m==0 || n==0)
        return ae_false;
    
    /* handle with optimized ALGLIB kernel */
    return _ialglib_cmatrixrighttrsm(m, n, &a->ptr.pp_complex[i1][j1], a->stride, isupper, isunit, optype, &x->ptr.pp_complex[i2][j2], x->stride);
}

ae_bool _ialglib_i_rmatrixrighttrsmf(ae_int_t m,
     ae_int_t n,
     ae_matrix *a,
     ae_int_t i1,
     ae_int_t j1,
     ae_bool isupper,
     ae_bool isunit,
     ae_int_t optype,
     ae_matrix *x,
     ae_int_t i2,
     ae_int_t j2)
{
    /* handle degenerate cases like zero matrices by ALGLIB - greatly simplifies passing data to ALGLIB kernel */
    if( m==0 || n==0)
        return ae_false;
    
    /* handle with optimized ALGLIB kernel */
    return _ialglib_rmatrixrighttrsm(m, n, &a->ptr.pp_double[i1][j1], a->stride, isupper, isunit, optype, &x->ptr.pp_double[i2][j2], x->stride);
}

ae_bool _ialglib_i_cmatrixlefttrsmf(ae_int_t m,
     ae_int_t n,
     ae_matrix *a,
     ae_int_t i1,
     ae_int_t j1,
     ae_bool isupper,
     ae_bool isunit,
     ae_int_t optype,
     ae_matrix *x,
     ae_int_t i2,
     ae_int_t j2)
{
    /* handle degenerate cases like zero matrices by ALGLIB - greatly simplifies passing data to ALGLIB kernel */
    if( m==0 || n==0)
        return ae_false;
    
    /* handle with optimized ALGLIB kernel */
    return _ialglib_cmatrixlefttrsm(m, n, &a->ptr.pp_complex[i1][j1], a->stride, isupper, isunit, optype, &x->ptr.pp_complex[i2][j2], x->stride);
}

ae_bool _ialglib_i_rmatrixlefttrsmf(ae_int_t m,
     ae_int_t n,
     ae_matrix *a,
     ae_int_t i1,
     ae_int_t j1,
     ae_bool isupper,
     ae_bool isunit,
     ae_int_t optype,
     ae_matrix *x,
     ae_int_t i2,
     ae_int_t j2)
{
    /* handle degenerate cases like zero matrices by ALGLIB - greatly simplifies passing data to ALGLIB kernel */
    if( m==0 || n==0)
        return ae_false;
    
    /* handle with optimized ALGLIB kernel */
    return _ialglib_rmatrixlefttrsm(m, n, &a->ptr.pp_double[i1][j1], a->stride, isupper, isunit, optype, &x->ptr.pp_double[i2][j2], x->stride);
}

ae_bool _ialglib_i_cmatrixherkf(ae_int_t n,
     ae_int_t k,
     double alpha,
     ae_matrix *a,
     ae_int_t ia,
     ae_int_t ja,
     ae_int_t optypea,
     double beta,
     ae_matrix *c,
     ae_int_t ic,
     ae_int_t jc,
     ae_bool isupper)
{
    /* handle degenerate cases like zero matrices by ALGLIB - greatly simplifies passing data to ALGLIB kernel */
    if( alpha==0.0 || k==0 || n==0)
        return ae_false;
        
    /* ALGLIB kernel */
    return _ialglib_cmatrixherk(n, k, alpha, &a->ptr.pp_complex[ia][ja], a->stride, optypea, beta, &c->ptr.pp_complex[ic][jc], c->stride, isupper);
}

ae_bool _ialglib_i_rmatrixsyrkf(ae_int_t n,
     ae_int_t k,
     double alpha,
     ae_matrix *a,
     ae_int_t ia,
     ae_int_t ja,
     ae_int_t optypea,
     double beta,
     ae_matrix *c,
     ae_int_t ic,
     ae_int_t jc,
     ae_bool isupper)
{
    /* handle degenerate cases like zero matrices by ALGLIB - greatly simplifies passing data to ALGLIB kernel */
    if( alpha==0.0 || k==0 || n==0)
        return ae_false;
        
    /* ALGLIB kernel */
    return _ialglib_rmatrixsyrk(n, k, alpha, &a->ptr.pp_double[ia][ja], a->stride, optypea, beta, &c->ptr.pp_double[ic][jc], c->stride, isupper);
}

ae_bool _ialglib_i_cmatrixrank1f(ae_int_t m,
     ae_int_t n,
     ae_matrix *a,
     ae_int_t ia,
     ae_int_t ja,
     ae_vector *u,
     ae_int_t uoffs,
     ae_vector *v,
     ae_int_t voffs)
{
    return _ialglib_cmatrixrank1(m, n, &a->ptr.pp_complex[ia][ja], a->stride, &u->ptr.p_complex[uoffs], &v->ptr.p_complex[voffs]);
}

ae_bool _ialglib_i_rmatrixrank1f(ae_int_t m,
     ae_int_t n,
     ae_matrix *a,
     ae_int_t ia,
     ae_int_t ja,
     ae_vector *u,
     ae_int_t uoffs,
     ae_vector *v,
     ae_int_t voffs)
{
    return _ialglib_rmatrixrank1(m, n, &a->ptr.pp_double[ia][ja], a->stride, &u->ptr.p_double[uoffs], &v->ptr.p_double[voffs]);
}

ae_bool _ialglib_i_rmatrixgerf(ae_int_t m,
     ae_int_t n,
     ae_matrix *a,
     ae_int_t ia,
     ae_int_t ja,
     double alpha,
     ae_vector *u,
     ae_int_t uoffs,
     ae_vector *v,
     ae_int_t voffs)
{
    return _ialglib_rmatrixger(m, n, &a->ptr.pp_double[ia][ja], a->stride, alpha, &u->ptr.p_double[uoffs], &v->ptr.p_double[voffs]);
}




/********************************************************************
This function reads rectangular matrix A given by two column pointers
col0 and col1 and stride src_stride and moves it into contiguous row-
by-row storage given by dst.

It can handle following special cases:
* col1==NULL    in this case second column of A is filled by zeros
********************************************************************/
void _ialglib_pack_n2(
    double *col0,
    double *col1,
    ae_int_t n,
    ae_int_t src_stride,
    double *dst)
{
    ae_int_t n2, j, stride2;
    
    /*
     * handle special case
     */
    if( col1==NULL )
    {
        for(j=0; j<n; j++)
        {
            dst[0] = *col0;
            dst[1] = 0.0;
            col0 += src_stride;
            dst  += 2;
        }
        return;
    }

    /*
     * handle general case
     */
    n2 = n/2;
    stride2 = src_stride*2;
    for(j=0; j<n2; j++)
    {
        dst[0] = *col0;
        dst[1] = *col1;
        dst[2] = col0[src_stride];
        dst[3] = col1[src_stride];
        col0 += stride2;
        col1 += stride2;
        dst  += 4;
    }
    if( n%2 )
    {
        dst[0] = *col0;
        dst[1] = *col1;
    }
}

/*************************************************************************
This function reads rectangular matrix A given by two column pointers col0 
and  col1  and  stride src_stride and moves it into  contiguous row-by-row 
storage given by dst.

dst must be aligned, col0 and col1 may be non-aligned.

It can handle following special cases:
* col1==NULL        in this case second column of A is filled by zeros
* src_stride==1     efficient SSE-based code is used
* col1-col0==1      efficient SSE-based code is used

This function supports SSE2; it can be used when:
1. AE_HAS_SSE2_INTRINSICS was defined (checked at compile-time)
2. ae_cpuid() result contains CPU_SSE2 (checked at run-time)

If  you  want  to  know  whether  it  is safe to call it, you should check 
results  of  ae_cpuid(). If CPU_SSE2 bit is set, this function is callable 
and will do its work.
*************************************************************************/
#if defined(AE_HAS_SSE2_INTRINSICS)
void _ialglib_pack_n2_sse2(
    double *col0,
    double *col1,
    ae_int_t n,
    ae_int_t src_stride,
    double *dst)
{
    ae_int_t n2, j, stride2;
    
    /*
     * handle special case: col1==NULL
     */
    if( col1==NULL )
    {
        for(j=0; j<n; j++)
        {
            dst[0] = *col0;
            dst[1] = 0.0;
            col0 += src_stride;
            dst  += 2;
        }
        return;
    }

    /*
     * handle unit stride
     */
    if( src_stride==1 )
    {
        __m128d v0, v1;
        n2 = n/2;
        for(j=0; j<n2; j++)
        {
            v0 = _mm_loadu_pd(col0);
            col0 += 2;
            v1 = _mm_loadu_pd(col1);
            col1 += 2;
            _mm_store_pd(dst,  _mm_unpacklo_pd(v0,v1));
            _mm_store_pd(dst+2,_mm_unpackhi_pd(v0,v1));
            dst  += 4;
        }
        if( n%2 )
        {
            dst[0] = *col0;
            dst[1] = *col1;
        }
        return;
    }

    /*
     * handle col1-col0==1
     */
    if( col1-col0==1 )
    {
        __m128d v0, v1;
        n2 = n/2;
        stride2 = 2*src_stride;
        for(j=0; j<n2; j++)
        {
            v0 = _mm_loadu_pd(col0);
            v1 = _mm_loadu_pd(col0+src_stride);
            _mm_store_pd(dst,  v0);
            _mm_store_pd(dst+2,v1);
            col0 += stride2;
            dst  += 4;
        }
        if( n%2 )
        {
            dst[0] = col0[0];
            dst[1] = col0[1];
        }
        return;
    }
    
    /*
     * handle general case
     */
    n2 = n/2;
    stride2 = src_stride*2;
    for(j=0; j<n2; j++)
    {
        dst[0] = *col0;
        dst[1] = *col1;
        dst[2] = col0[src_stride];
        dst[3] = col1[src_stride];
        col0 += stride2;
        col1 += stride2;
        dst  += 4;
    }
    if( n%2 )
    {
        dst[0] = *col0;
        dst[1] = *col1;
    }
}
#endif


/********************************************************************
This function calculates R := alpha*A'*B+beta*R where A and B are Kx2 
matrices stored in contiguous row-by-row storage,  R  is  2x2  matrix
stored in non-contiguous row-by-row storage.

A and B must be aligned; R may be non-aligned.

If beta is zero, contents of R is ignored (not  multiplied  by zero -
just ignored).

However, when alpha is zero, we still calculate A'*B, which is 
multiplied by zero afterwards.

Function accepts additional parameter store_mode:
* if 0, full R is stored
* if 1, only first row of R is stored
* if 2, only first column of R is stored
* if 3, only top left element of R is stored
********************************************************************/
void _ialglib_mm22(double alpha, const double *a, const double *b, ae_int_t k, double beta, double *r, ae_int_t stride, ae_int_t store_mode)
{
    double v00, v01, v10, v11;
    ae_int_t t;
    v00 = 0.0;
    v01 = 0.0;
    v10 = 0.0;
    v11 = 0.0;
    for(t=0; t<k; t++)
    {
        v00 += a[0]*b[0];
        v01 += a[0]*b[1];
        v10 += a[1]*b[0];
        v11 += a[1]*b[1];
        a+=2;
        b+=2;
    }
    if( store_mode==0 )
    {
        if( beta==0 )
        {
            r[0] = alpha*v00;
            r[1] = alpha*v01;
            r[stride+0] = alpha*v10;
            r[stride+1] = alpha*v11;
        }
        else
        {
            r[0] = beta*r[0] + alpha*v00;
            r[1] = beta*r[1] + alpha*v01;
            r[stride+0] = beta*r[stride+0] + alpha*v10;
            r[stride+1] = beta*r[stride+1] + alpha*v11;
        }
        return;
    }
    if( store_mode==1 )
    {
        if( beta==0 )
        {
            r[0] = alpha*v00;
            r[1] = alpha*v01;
        }
        else
        {
            r[0] = beta*r[0] + alpha*v00;
            r[1] = beta*r[1] + alpha*v01;
        }
        return;
    }
    if( store_mode==2 )
    {
        if( beta==0 )
        {
            r[0] =alpha*v00;
            r[stride+0] = alpha*v10;
        }
        else
        {
            r[0] = beta*r[0] + alpha*v00; 
            r[stride+0] = beta*r[stride+0] + alpha*v10;
        }
        return;
    }
    if( store_mode==3 )
    {
        if( beta==0 )
        {
            r[0] = alpha*v00;
        }
        else
        {
            r[0] = beta*r[0] + alpha*v00;
        }
        return;
    }
}


/********************************************************************
This function calculates R := alpha*A'*B+beta*R where A and B are Kx2 
matrices stored in contiguous row-by-row storage,  R  is  2x2  matrix
stored in non-contiguous row-by-row storage.

A and B must be aligned; R may be non-aligned.

If beta is zero, contents of R is ignored (not  multiplied  by zero -
just ignored).

However, when alpha is zero, we still calculate A'*B, which is 
multiplied by zero afterwards.

Function accepts additional parameter store_mode:
* if 0, full R is stored
* if 1, only first row of R is stored
* if 2, only first column of R is stored
* if 3, only top left element of R is stored

This function supports SSE2; it can be used when:
1. AE_HAS_SSE2_INTRINSICS was defined (checked at compile-time)
2. ae_cpuid() result contains CPU_SSE2 (checked at run-time)

If (1) is failed, this function will still be defined and callable, but it 
will do nothing.  If (2)  is  failed , call to this function will probably 
crash your system. 

If  you  want  to  know  whether  it  is safe to call it, you should check 
results  of  ae_cpuid(). If CPU_SSE2 bit is set, this function is callable 
and will do its work.
********************************************************************/
#if defined(AE_HAS_SSE2_INTRINSICS)
void _ialglib_mm22_sse2(double alpha, const double *a, const double *b, ae_int_t k, double beta, double *r, ae_int_t stride, ae_int_t store_mode)
{
    /*
     * We calculate product of two Kx2 matrices (result is 2x2). 
     * VA and VB store result as follows:
     *
     *        [ VD[0]  VE[0] ]
     * A'*B = [              ]
     *        [ VE[1]  VD[1] ]
     *
     */
    __m128d va, vb, vd, ve, vt, r0, r1, valpha, vbeta; 
    ae_int_t t, k2;
    
    /*
     * calculate product
     */
    k2 = k/2;
    vd = _mm_setzero_pd();
    ve = _mm_setzero_pd();
    for(t=0; t<k2; t++)
    {
        vb = _mm_load_pd(b);
        va = _mm_load_pd(a);
        vt = vb;
        vb = _mm_mul_pd(va,vb);
        vt = _mm_shuffle_pd(vt, vt, 1);
        vd = _mm_add_pd(vb,vd);        
        vt = _mm_mul_pd(va,vt);
        vb = _mm_load_pd(b+2);
        ve = _mm_add_pd(vt,ve);
        va = _mm_load_pd(a+2);
        vt = vb;
        vb = _mm_mul_pd(va,vb);
        vt = _mm_shuffle_pd(vt, vt, 1);
        vd = _mm_add_pd(vb,vd);
        vt = _mm_mul_pd(va,vt);
        ve = _mm_add_pd(vt,ve);
        a+=4;
        b+=4;
    }
    if( k%2 )
    {
        va = _mm_load_pd(a);
        vb = _mm_load_pd(b);
        vt = _mm_shuffle_pd(vb, vb, 1);
        vd = _mm_add_pd(_mm_mul_pd(va,vb),vd);
        ve = _mm_add_pd(_mm_mul_pd(va,vt),ve);
    }    
    
    /*
     * r0 is first row of alpha*A'*B, r1 is second row
     */
    valpha = _mm_load1_pd(&alpha);
    r0 = _mm_mul_pd(_mm_unpacklo_pd(vd,ve),valpha);
    r1 = _mm_mul_pd(_mm_unpackhi_pd(ve,vd),valpha);
    
    /*
     * store
     */
    if( store_mode==0 )
    {
        if( beta==0 )
        {
            _mm_storeu_pd(r,r0);
            _mm_storeu_pd(r+stride,r1);
        }
        else
        {
            vbeta = _mm_load1_pd(&beta);
            _mm_storeu_pd(r,_mm_add_pd(_mm_mul_pd(_mm_loadu_pd(r),vbeta),r0));
            _mm_storeu_pd(r+stride,_mm_add_pd(_mm_mul_pd(_mm_loadu_pd(r+stride),vbeta),r1));
        }
        return;
    }
    if( store_mode==1 )
    {
        if( beta==0 )
            _mm_storeu_pd(r,r0);
        else
            _mm_storeu_pd(r,_mm_add_pd(_mm_mul_pd(_mm_loadu_pd(r),_mm_load1_pd(&beta)),r0));
        return;
    }
    if( store_mode==2 )
    {
        double buf[4];
        _mm_storeu_pd(buf,r0);
        _mm_storeu_pd(buf+2,r1);
        if( beta==0 )
        {
            r[0] =buf[0];
            r[stride+0] = buf[2];
        }
        else
        {
            r[0] = beta*r[0] + buf[0]; 
            r[stride+0] = beta*r[stride+0] + buf[2];
        }
        return;
    }
    if( store_mode==3 )
    {
        double buf[2];
        _mm_storeu_pd(buf,r0);
        if( beta==0 )
            r[0] = buf[0];
        else
            r[0] = beta*r[0] + buf[0];
        return;
    }
}
#endif


/*************************************************************************
This function calculates R := alpha*A'*(B0|B1)+beta*R where A, B0  and  B1 
are Kx2 matrices stored in contiguous row-by-row storage, R is 2x4  matrix 
stored in non-contiguous row-by-row storage.

A, B0 and B1 must be aligned; R may be non-aligned.

Note  that  B0  and  B1  are  two  separate  matrices  stored in different 
locations.

If beta is zero, contents of R is ignored (not  multiplied  by zero - just 
ignored).

However,  when  alpha  is  zero , we still calculate MM product,  which is 
multiplied by zero afterwards.

Unlike mm22 functions, this function does NOT support partial  output of R 
- we always store full 2x4 matrix.
*************************************************************************/
void _ialglib_mm22x2(double alpha, const double *a, const double *b0, const double *b1, ae_int_t k, double beta, double *r, ae_int_t stride)
{
    _ialglib_mm22(alpha, a, b0, k, beta, r, stride, 0);
    _ialglib_mm22(alpha, a, b1, k, beta, r+2, stride, 0);
}

/*************************************************************************
This function calculates R := alpha*A'*(B0|B1)+beta*R where A, B0  and  B1 
are Kx2 matrices stored in contiguous row-by-row storage, R is 2x4  matrix 
stored in non-contiguous row-by-row storage.

A, B0 and B1 must be aligned; R may be non-aligned.

Note  that  B0  and  B1  are  two  separate  matrices  stored in different 
locations.

If beta is zero, contents of R is ignored (not  multiplied  by zero - just 
ignored).

However,  when  alpha  is  zero , we still calculate MM product,  which is 
multiplied by zero afterwards.

Unlike mm22 functions, this function does NOT support partial  output of R 
- we always store full 2x4 matrix.

This function supports SSE2; it can be used when:
1. AE_HAS_SSE2_INTRINSICS was defined (checked at compile-time)
2. ae_cpuid() result contains CPU_SSE2 (checked at run-time)

If (1) is failed, this function will still be defined and callable, but it 
will do nothing.  If (2)  is  failed , call to this function will probably 
crash your system. 

If  you  want  to  know  whether  it  is safe to call it, you should check 
results  of  ae_cpuid(). If CPU_SSE2 bit is set, this function is callable 
and will do its work.
*************************************************************************/
#if defined(AE_HAS_SSE2_INTRINSICS)
void _ialglib_mm22x2_sse2(double alpha, const double *a, const double *b0, const double *b1, ae_int_t k, double beta, double *r, ae_int_t stride)
{
    /*
     * We calculate product of two Kx2 matrices (result is 2x2). 
     * V0, V1, V2, V3 store result as follows:
     *
     *     [ V0[0]  V1[1] V2[0]  V3[1] ]
     * R = [                           ]
     *     [ V1[0]  V0[1] V3[0]  V2[1] ]
     *
     * VA0 stores current 1x2 block of A, VA1 stores shuffle of VA0,
     * VB0 and VB1 are used to store two copies of 1x2 block of B0 or B1
     * (both vars store same data - either B0 or B1). Results from multiplication
     * by VA0/VA1 are stored in VB0/VB1 too.
     * 
     */
    __m128d v0, v1, v2, v3, va0, va1, vb0, vb1; 
    __m128d r00, r01, r10, r11, valpha, vbeta; 
    ae_int_t t;
    
    v0 = _mm_setzero_pd();
    v1 = _mm_setzero_pd();
    v2 = _mm_setzero_pd();
    v3 = _mm_setzero_pd();
    for(t=0; t<k; t++)
    {
        va0 = _mm_load_pd(a);
        vb0 = _mm_load_pd(b0);
        va1 = _mm_load_pd(a);
        
        vb0 = _mm_mul_pd(va0,vb0);
        vb1 = _mm_load_pd(b0);
        v0 = _mm_add_pd(v0,vb0);        
        vb1 = _mm_mul_pd(va1,vb1);
        vb0 = _mm_load_pd(b1);
        v1 = _mm_add_pd(v1,vb1);        
        
        vb0 = _mm_mul_pd(va0,vb0);
        vb1 = _mm_load_pd(b1);
        v2 = _mm_add_pd(v2,vb0);        
        vb1 = _mm_mul_pd(va1,vb1);
        v3 = _mm_add_pd(v3,vb1);        

        a+=2;
        b0+=2;
        b1+=2;
    }

    /*
     * shuffle V1 and V3 (conversion to more convenient storage format):
     *
     *     [ V0[0]  V1[0] V2[0]  V3[0] ]
     * R = [                           ]
     *     [ V1[1]  V0[1] V3[1]  V2[1] ]
     *
     * unpack results to
     *
     * [ r00 r01 ]
     * [ r10 r11 ]
     *
     */
    valpha = _mm_load1_pd(&alpha);
    v1 = _mm_shuffle_pd(v1, v1, 1);
    v3 = _mm_shuffle_pd(v3, v3, 1);
    r00 = _mm_mul_pd(_mm_unpacklo_pd(v0,v1),valpha);
    r10 = _mm_mul_pd(_mm_unpackhi_pd(v1,v0),valpha);
    r01 = _mm_mul_pd(_mm_unpacklo_pd(v2,v3),valpha);
    r11 = _mm_mul_pd(_mm_unpackhi_pd(v3,v2),valpha);
    
    /*
     * store
     */
    if( beta==0 )
    {
        _mm_storeu_pd(r,r00);
        _mm_storeu_pd(r+2,r01);
        _mm_storeu_pd(r+stride,r10);
        _mm_storeu_pd(r+stride+2,r11);
    }
    else
    {
        vbeta = _mm_load1_pd(&beta);
        _mm_storeu_pd(r,          _mm_add_pd(_mm_mul_pd(_mm_loadu_pd(r),vbeta),r00));
        _mm_storeu_pd(r+2,        _mm_add_pd(_mm_mul_pd(_mm_loadu_pd(r+2),vbeta),r01));
        _mm_storeu_pd(r+stride,   _mm_add_pd(_mm_mul_pd(_mm_loadu_pd(r+stride),vbeta),r10));
        _mm_storeu_pd(r+stride+2, _mm_add_pd(_mm_mul_pd(_mm_loadu_pd(r+stride+2),vbeta),r11));
    }    
}
#endif

#if !defined(ALGLIB_NO_FAST_KERNELS)

/*************************************************************************
Computes dot product (X,Y) for elements [0,N) of X[] and Y[]

INPUT PARAMETERS:
    N       -   vector length
    X       -   array[N], vector to process
    Y       -   array[N], vector to process

RESULT:
    (X,Y)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
double rdotv(ae_int_t n,
     /* Real    */ ae_vector* x,
     /* Real    */ ae_vector* y,
     ae_state *_state)
{
    ae_int_t i;
    double result;
    
    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_RETURN_SSE2_AVX2_FMA(rdotv,(n,x->ptr.p_double,y->ptr.p_double,_state)) /* use _ALGLIB_KERNEL_VOID_ for a kernel that does not return result */

    /*
     * Original generic C implementation
     */
    result = (double)(0);
    for(i=0; i<=n-1; i++)
    {
        result = result+x->ptr.p_double[i]*y->ptr.p_double[i];
    }
    return result;
}



/*************************************************************************
Computes dot product (X,A[i]) for elements [0,N) of vector X[] and row A[i,*]

INPUT PARAMETERS:
    N       -   vector length
    X       -   array[N], vector to process
    A       -   array[?,N], matrix to process
    I       -   row index

RESULT:
    (X,Ai)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
double rdotvr(ae_int_t n,
     /* Real    */ ae_vector* x,
     /* Real    */ ae_matrix* a,
     ae_int_t i,
     ae_state *_state)
{
    ae_int_t j;
    double result;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_RETURN_SSE2_AVX2_FMA(rdotv,(n,x->ptr.p_double,a->ptr.pp_double[i],_state))

    result = (double)(0);
    for(j=0; j<=n-1; j++)
    {
        result = result+x->ptr.p_double[j]*a->ptr.pp_double[i][j];
    }
    return result;
}


/*************************************************************************
Computes dot product (X,A[i]) for rows A[ia,*] and B[ib,*]

INPUT PARAMETERS:
    N       -   vector length
    X       -   array[N], vector to process
    A       -   array[?,N], matrix to process
    I       -   row index

RESULT:
    (X,Ai)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
double rdotrr(ae_int_t n,
     /* Real    */ ae_matrix* a,
     ae_int_t ia,
     /* Real    */ ae_matrix* b,
     ae_int_t ib,
     ae_state *_state)
{
    ae_int_t j;
    double result;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_RETURN_SSE2_AVX2_FMA(rdotv,(n,a->ptr.pp_double[ia],b->ptr.pp_double[ib],_state))

    result = (double)(0);
    for(j=0; j<=n-1; j++)
    {
        result = result+a->ptr.pp_double[ia][j]*b->ptr.pp_double[ib][j];
    }
    return result;
}


/*************************************************************************
Computes dot product (X,X) for elements [0,N) of X[]

INPUT PARAMETERS:
    N       -   vector length
    X       -   array[N], vector to process

RESULT:
    (X,X)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
double rdotv2(ae_int_t n, /* Real    */ ae_vector* x, ae_state *_state)
{
    ae_int_t i;
    double v;
    double result;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_RETURN_SSE2_AVX2_FMA(rdotv2,(n,x->ptr.p_double,_state))

    result = (double)(0);
    for(i=0; i<=n-1; i++)
    {
        v = x->ptr.p_double[i];
        result = result+v*v;
    }
    return result;
}


/*************************************************************************
Copies vector X[] to Y[]

INPUT PARAMETERS:
    N       -   vector length
    X       -   array[N], source
    Y       -   preallocated array[N]

OUTPUT PARAMETERS:
    Y       -   leading N elements are replaced by X

    
NOTE: destination and source should NOT overlap

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rcopyv(ae_int_t n,
     /* Real    */ ae_vector* x,
     /* Real    */ ae_vector* y,
     ae_state *_state)
{
    ae_int_t j;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rcopyv,
            (n,x->ptr.p_double,y->ptr.p_double,_state))


    for(j=0; j<=n-1; j++)
    {
        y->ptr.p_double[j] = x->ptr.p_double[j];
    }
}

/*************************************************************************
Copies vector X[] to row I of A[,]

INPUT PARAMETERS:
    N       -   vector length
    X       -   array[N], source
    A       -   preallocated 2D array large enough to store result
    I       -   destination row index

OUTPUT PARAMETERS:
    A       -   leading N elements of I-th row are replaced by X

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rcopyvr(ae_int_t n,
     /* Real    */ ae_vector* x,
     /* Real    */ ae_matrix* a,
     ae_int_t i,
     ae_state *_state)
{
    ae_int_t j;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rcopyv,
            (n, x->ptr.p_double, a->ptr.pp_double[i], _state))

    for(j=0; j<=n-1; j++)
    {
        a->ptr.pp_double[i][j] = x->ptr.p_double[j];
    }
}


/*************************************************************************
Copies row I of A[,] to vector X[]

INPUT PARAMETERS:
    N       -   vector length
    A       -   2D array, source
    I       -   source row index
    X       -   preallocated destination

OUTPUT PARAMETERS:
    X       -   array[N], destination

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rcopyrv(ae_int_t n,
     /* Real    */ ae_matrix* a,
     ae_int_t i,
     /* Real    */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t j;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rcopyv,
            (n, a->ptr.pp_double[i], x->ptr.p_double, _state))

    for(j=0; j<=n-1; j++)
    {
        x->ptr.p_double[j] = a->ptr.pp_double[i][j];
    }
}


/*************************************************************************
Copies row I of A[,] to row K of B[,].

A[i,...] and B[k,...] may overlap.

INPUT PARAMETERS:
    N       -   vector length
    A       -   2D array, source
    I       -   source row index
    B       -   preallocated destination
    K       -   destination row index

OUTPUT PARAMETERS:
    B       -   row K overwritten

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rcopyrr(ae_int_t n,
     /* Real    */ ae_matrix* a,
     ae_int_t i,
     /* Real    */ ae_matrix* b,
     ae_int_t k,
     ae_state *_state)
{
    ae_int_t j;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rcopyv,
            (n, a->ptr.pp_double[i], b->ptr.pp_double[k], _state))

    for(j=0; j<=n-1; j++)
    {
        b->ptr.pp_double[k][j] = a->ptr.pp_double[i][j];
    }
}

/*************************************************************************
Performs copying with multiplication of V*X[] to Y[]

INPUT PARAMETERS:
    N       -   vector length
    V       -   multiplier
    X       -   array[N], source
    Y       -   preallocated array[N]

OUTPUT PARAMETERS:
    Y       -   array[N], Y = V*X

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rcopymulv(ae_int_t n,
     double v,
     /* Real    */ ae_vector* x,
     /* Real    */ ae_vector* y,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rcopymulv,
            (n,v,x->ptr.p_double,y->ptr.p_double,_state))

    for(i=0; i<=n-1; i++)
    {
        y->ptr.p_double[i] = v*x->ptr.p_double[i];
    }
}


/*************************************************************************
Performs copying with multiplication of V*X[] to Y[I,*]

INPUT PARAMETERS:
    N       -   vector length
    V       -   multiplier
    X       -   array[N], source
    Y       -   preallocated array[?,N]
    RIdx    -   destination row index

OUTPUT PARAMETERS:
    Y       -   Y[RIdx,...] = V*X

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rcopymulvr(ae_int_t n,
     double v,
     /* Real    */ ae_vector* x,
     /* Real    */ ae_matrix* y,
     ae_int_t ridx,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rcopymulv,
            (n,v,x->ptr.p_double,y->ptr.pp_double[ridx],_state))

    for(i=0; i<=n-1; i++)
    {
        y->ptr.pp_double[ridx][i] = v*x->ptr.p_double[i];
    }
}

/*************************************************************************
Copies vector X[] to Y[]

INPUT PARAMETERS:
    N       -   vector length
    X       -   source array
    Y       -   preallocated array[N]

OUTPUT PARAMETERS:
    Y       -   X copied to Y

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void icopyv(ae_int_t n,
     /* Integer */ ae_vector* x,
     /* Integer */ ae_vector* y,
     ae_state *_state)
{
    ae_int_t j;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(icopyv,
            (n, x->ptr.p_int, y->ptr.p_int, _state))

    for(j=0; j<=n-1; j++)
    {
        y->ptr.p_int[j] = x->ptr.p_int[j];
    }
}

/*************************************************************************
Copies vector X[] to Y[]

INPUT PARAMETERS:
    N       -   vector length
    X       -   array[N], source
    Y       -   preallocated array[N]

OUTPUT PARAMETERS:
    Y       -   leading N elements are replaced by X

    
NOTE: destination and source should NOT overlap

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void bcopyv(ae_int_t n,
     /* Boolean */ ae_vector* x,
     /* Boolean */ ae_vector* y,
     ae_state *_state)
{
    ae_int_t j;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1*8 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(bcopyv,
            (n, x->ptr.p_bool, y->ptr.p_bool, _state))

    for(j=0; j<=n-1; j++)
    {
        y->ptr.p_bool[j] = x->ptr.p_bool[j];
    }
}


/*************************************************************************
Sets vector X[] to V

INPUT PARAMETERS:
    N       -   vector length
    V       -   value to set
    X       -   array[N]

OUTPUT PARAMETERS:
    X       -   leading N elements are replaced by V

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rsetv(ae_int_t n,
     double v,
     /* Real    */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t j;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rsetv,
            (n, v, x->ptr.p_double, _state))

    for(j=0; j<=n-1; j++)
    {
        x->ptr.p_double[j] = v;
    }
}

/*************************************************************************
Sets row I of A[,] to V

INPUT PARAMETERS:
    N       -   vector length
    V       -   value to set
    A       -   array[N,N] or larger
    I       -   row index

OUTPUT PARAMETERS:
    A       -   leading N elements of I-th row are replaced by V

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rsetr(ae_int_t n,
     double v,
     /* Real    */ ae_matrix* a,
     ae_int_t i,
     ae_state *_state)
{
    ae_int_t j;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rsetv,
            (n, v, a->ptr.pp_double[i], _state))

    for(j=0; j<=n-1; j++)
    {
        a->ptr.pp_double[i][j] = v;
    }
}


/*************************************************************************
Sets X[OffsX:OffsX+N-1] to V

INPUT PARAMETERS:
    N       -   subvector length
    V       -   value to set
    X       -   array[N]

OUTPUT PARAMETERS:
    X       -   X[OffsX:OffsX+N-1] is replaced by V

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rsetvx(ae_int_t n,
     double v,
     /* Real    */ ae_vector* x,
     ae_int_t offsx,
     ae_state *_state)
{
    ae_int_t j;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rsetvx,
            (n, v, x->ptr.p_double+offsx, _state))

    for(j=0; j<=n-1; j++)
    {
        x->ptr.p_double[offsx+j] = v;
    }
}


/*************************************************************************
Sets matrix A[] to V

INPUT PARAMETERS:
    M, N    -   rows/cols count
    V       -   value to set
    A       -   array[M,N]

OUTPUT PARAMETERS:
    A       -   leading M rows, N cols are replaced by V

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
static void rsetm_simd(const ae_int_t n, const double v, double *pDest, ae_state *_state)
{
    _ALGLIB_KERNEL_VOID_SSE2_AVX2(rsetv, (n, v, pDest, _state));

    ae_int_t j;
    for(j=0; j<=n-1; j++) {
        pDest[j] = v;
    }
}

void rsetm(ae_int_t m,
     ae_int_t n,
     double v,
     /* Real    */ ae_matrix* a,
     ae_state *_state)
{
    ae_int_t i;
    ae_int_t j;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n >=_ABLASF_KERNEL_SIZE1 ) {
        for(i=0; i<m; i++) {
            rsetm_simd(n, v, a->ptr.pp_double[i], _state);
        }
        return;
    }

    for(i=0; i<=m-1; i++)
    {
        for(j=0; j<=n-1; j++)
        {
            a->ptr.pp_double[i][j] = v;
        }
    }
}


/*************************************************************************
Sets vector X[] to V

INPUT PARAMETERS:
    N       -   vector length
    V       -   value to set
    X       -   array[N]

OUTPUT PARAMETERS:
    X       -   leading N elements are replaced by V

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void isetv(ae_int_t n,
     ae_int_t v,
     /* Integer */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t j;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(isetv,
            (n, v, x->ptr.p_int, _state))

    for(j=0; j<=n-1; j++)
    {
        x->ptr.p_int[j] = v;
    }
}

/*************************************************************************
Sets vector X[] to V

INPUT PARAMETERS:
    N       -   vector length
    V       -   value to set
    X       -   array[N]

OUTPUT PARAMETERS:
    X       -   leading N elements are replaced by V

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void bsetv(ae_int_t n,
     ae_bool v,
     /* Boolean */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t j;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1*8 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(bsetv,
            (n, v, x->ptr.p_bool, _state))

    for(j=0; j<=n-1; j++)
    {
        x->ptr.p_bool[j] = v;
    }
}


/*************************************************************************
Performs inplace multiplication of X[] by V

INPUT PARAMETERS:
    N       -   vector length
    X       -   array[N], vector to process
    V       -   multiplier

OUTPUT PARAMETERS:
    X       -   elements 0...N-1 multiplied by V

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmulv(ae_int_t n,
     double v,
     /* Real    */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rmulv,
            (n,v,x->ptr.p_double,_state))

    for(i=0; i<=n-1; i++)
    {
        x->ptr.p_double[i] = x->ptr.p_double[i]*v;
    }
}


/*************************************************************************
Performs inplace multiplication of X[] by V

INPUT PARAMETERS:
    N       -   row length
    X       -   array[?,N], row to process
    V       -   multiplier

OUTPUT PARAMETERS:
    X       -   elements 0...N-1 of row RowIdx are multiplied by V

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmulr(ae_int_t n,
     double v,
     /* Real    */ ae_matrix* x,
     ae_int_t rowidx,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rmulv,
            (n, v, x->ptr.pp_double[rowidx], _state))

    for(i=0; i<=n-1; i++)
    {
        x->ptr.pp_double[rowidx][i] = x->ptr.pp_double[rowidx][i]*v;
    }
}


/*************************************************************************
Performs inplace computation of Sqrt(X)

INPUT PARAMETERS:
    N       -   vector length
    X       -   array[N], vector to process

OUTPUT PARAMETERS:
    X       -   elements 0...N-1 replaced by Sqrt(X)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rsqrtv(ae_int_t n,
     /* Real    */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_AVX2(rsqrtv,
            (n,x->ptr.p_double,_state))

    for(i=0; i<=n-1; i++)
        x->ptr.p_double[i] = sqrt(x->ptr.p_double[i]);
}


/*************************************************************************
Performs inplace computation of Sqrt(X[RowIdx,*])

INPUT PARAMETERS:
    N       -   vector length
    X       -   array[?,N], matrix to process

OUTPUT PARAMETERS:
    X       -   elements 0...N-1 replaced by Sqrt(X)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rsqrtr(ae_int_t n,
     /* Real    */ ae_matrix* x,
     ae_int_t rowidx,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_AVX2(rsqrtv,
            (n, x->ptr.pp_double[rowidx], _state))

    for(i=0; i<=n-1; i++)
        x->ptr.pp_double[rowidx][i] = sqrt(x->ptr.pp_double[rowidx][i]);
}


/*************************************************************************
Performs inplace multiplication of X[OffsX:OffsX+N-1] by V

INPUT PARAMETERS:
    N       -   subvector length
    X       -   vector to process
    V       -   multiplier

OUTPUT PARAMETERS:
    X       -   elements OffsX:OffsX+N-1 multiplied by V

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmulvx(ae_int_t n,
     double v,
     /* Real    */ ae_vector* x,
     ae_int_t offsx,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rmulvx,
            (n, v, x->ptr.p_double+offsx, _state))

    for(i=0; i<=n-1; i++)
    {
        x->ptr.p_double[offsx+i] = x->ptr.p_double[offsx+i]*v;
    }
}


/*************************************************************************
Performs inplace addition of Y[] to X[]

INPUT PARAMETERS:
    N       -   vector length
    Alpha   -   multiplier
    Y       -   array[N], vector to process
    X       -   array[N], vector to process

RESULT:
    X := X + alpha*Y

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void raddv(ae_int_t n,
     double alpha,
     /* Real    */ ae_vector* y,
     /* Real    */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2_FMA(raddv,
            (n,alpha,y->ptr.p_double,x->ptr.p_double,_state))


    for(i=0; i<=n-1; i++)
    {
        x->ptr.p_double[i] = x->ptr.p_double[i]+alpha*y->ptr.p_double[i];
    }
}


/*************************************************************************
Performs inplace addition of vector Y[] to row X[]

INPUT PARAMETERS:
    N       -   vector length
    Alpha   -   multiplier
    Y       -   vector to add
    X       -   target row RowIdx

RESULT:
    X := X + alpha*Y

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void raddvr(ae_int_t n,
     double alpha,
     /* Real    */ ae_vector* y,
     /* Real    */ ae_matrix* x,
     ae_int_t rowidx,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2_FMA(raddv,
            (n,alpha,y->ptr.p_double,x->ptr.pp_double[rowidx],_state))


    for(i=0; i<=n-1; i++)
    {
        x->ptr.pp_double[rowidx][i] = x->ptr.pp_double[rowidx][i]+alpha*y->ptr.p_double[i];
    }
}


/*************************************************************************
Performs inplace addition of Y[RIdx,...] to X[]

INPUT PARAMETERS:
    N       -   vector length
    Alpha   -   multiplier
    Y       -   array[?,N], matrix whose RIdx-th row is added
    RIdx    -   row index
    X       -   array[N], vector to process

RESULT:
    X := X + alpha*Y

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void raddrv(ae_int_t n,
     double alpha,
     /* Real    */ ae_matrix* y,
     ae_int_t ridx,
     /* Real    */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2_FMA(raddv,
            (n,alpha,y->ptr.pp_double[ridx],x->ptr.p_double,_state))

    for(i=0; i<=n-1; i++)
    {
        x->ptr.p_double[i] = x->ptr.p_double[i]+alpha*y->ptr.pp_double[ridx][i];
    }
}


/*************************************************************************
Performs inplace addition of Y[RIdx,...] to X[RIdxDst]

INPUT PARAMETERS:
    N       -   vector length
    Alpha   -   multiplier
    Y       -   array[?,N], matrix whose RIdxSrc-th row is added
    RIdxSrc -   source row index
    X       -   array[?,N], matrix whose RIdxDst-th row is target
    RIdxDst -   destination row index

RESULT:
    X := X + alpha*Y

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void raddrr(ae_int_t n,
     double alpha,
     /* Real    */ ae_matrix* y,
     ae_int_t ridxsrc,
     /* Real    */ ae_matrix* x,
     ae_int_t ridxdst,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2_FMA(raddv,
            (n,alpha,y->ptr.pp_double[ridxsrc],x->ptr.pp_double[ridxdst],_state))

    for(i=0; i<=n-1; i++)
    {
        x->ptr.pp_double[ridxdst][i] = x->ptr.pp_double[ridxdst][i]+alpha*y->ptr.pp_double[ridxsrc][i];
    }
}


/*************************************************************************
Performs inplace addition of Y[] to X[]

INPUT PARAMETERS:
    N       -   vector length
    Alpha   -   multiplier
    Y       -   source vector
    OffsY   -   source offset
    X       -   destination vector
    OffsX   -   destination offset

RESULT:
    X := X + alpha*Y

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void raddvx(ae_int_t n,
     double alpha,
     /* Real    */ ae_vector* y,
     ae_int_t offsy,
     /* Real    */ ae_vector* x,
     ae_int_t offsx,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2_FMA(raddvx,
            (n, alpha, y->ptr.p_double+offsy, x->ptr.p_double+offsx, _state))

    for(i=0; i<=n-1; i++)
    {
        x->ptr.p_double[offsx+i] = x->ptr.p_double[offsx+i]+alpha*y->ptr.p_double[offsy+i];
    }
}


/*************************************************************************
Performs inplace addition of Y[]*Z[] to X[]

INPUT PARAMETERS:
    N       -   vector length
    Y       -   array[N], vector to process
    Z       -   array[N], vector to process
    X       -   array[N], vector to process

RESULT:
    X := X + Y*Z

  -- ALGLIB --
     Copyright 29.10.2021 by Bochkanov Sergey
*************************************************************************/
void rmuladdv(ae_int_t n,
     /* Real    */ ae_vector* y,
     /* Real    */ ae_vector* z,
     /* Real    */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_FMA(rmuladdv, (n, y->ptr.p_double, z->ptr.p_double, x->ptr.p_double, _state))

    for(i=0; i<=n-1; i++)
    {
        x->ptr.p_double[i] = x->ptr.p_double[i]+y->ptr.p_double[i]*z->ptr.p_double[i];
    }
}


/*************************************************************************
Performs inplace subtraction of Y[]*Z[] from X[]

INPUT PARAMETERS:
    N       -   vector length
    Y       -   array[N], vector to process
    Z       -   array[N], vector to process
    X       -   array[N], vector to process

RESULT:
    X := X - Y*Z

  -- ALGLIB --
     Copyright 29.10.2021 by Bochkanov Sergey
*************************************************************************/
void rnegmuladdv(ae_int_t n,
     /* Real    */ ae_vector* y,
     /* Real    */ ae_vector* z,
     /* Real    */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_FMA(rnegmuladdv, (n, y->ptr.p_double, z->ptr.p_double, x->ptr.p_double, _state))

    for(i=0; i<=n-1; i++)
    {
        x->ptr.p_double[i] -= y->ptr.p_double[i]*z->ptr.p_double[i];
    }
}


/*************************************************************************
Performs addition of Y[]*Z[] to X[]

INPUT PARAMETERS:
    N       -   vector length
    Y       -   array[N], vector to process
    Z       -   array[N], vector to process
    X       -   array[N], vector to process
    R       -   array[N], vector to process

RESULT:
    R := X + Y*Z

  -- ALGLIB --
     Copyright 29.10.2021 by Bochkanov Sergey
*************************************************************************/
void rcopymuladdv(ae_int_t n,
     /* Real    */ ae_vector* y,
     /* Real    */ ae_vector* z,
     /* Real    */ ae_vector* x,
     /* Real    */ ae_vector* r,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_FMA(rcopymuladdv, (n, y->ptr.p_double, z->ptr.p_double, x->ptr.p_double, r->ptr.p_double, _state))

    for(i=0; i<=n-1; i++)
        r->ptr.p_double[i] = x->ptr.p_double[i]+y->ptr.p_double[i]*z->ptr.p_double[i];
}


/*************************************************************************
Performs subtraction of Y[]*Z[] from X[]

INPUT PARAMETERS:
    N       -   vector length
    Y       -   array[N], vector to process
    Z       -   array[N], vector to process
    X       -   array[N], vector to process
    R       -   array[N], vector to process

RESULT:
    R := X - Y*Z

  -- ALGLIB --
     Copyright 29.10.2021 by Bochkanov Sergey
*************************************************************************/
void rcopynegmuladdv(ae_int_t n,
     /* Real    */ ae_vector* y,
     /* Real    */ ae_vector* z,
     /* Real    */ ae_vector* x,
     /* Real    */ ae_vector* r,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_FMA(rcopynegmuladdv, (n, y->ptr.p_double, z->ptr.p_double, x->ptr.p_double, r->ptr.p_double, _state))

    for(i=0; i<=n-1; i++)
        r->ptr.p_double[i] = x->ptr.p_double[i]-y->ptr.p_double[i]*z->ptr.p_double[i];
}


/*************************************************************************
Performs componentwise multiplication of vector X[] by vector Y[]

INPUT PARAMETERS:
    N       -   vector length
    Y       -   vector to multiply by
    X       -   target vector

RESULT:
    X := componentwise(X*Y)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmergemulv(ae_int_t n,
     /* Real    */ ae_vector* y,
     /* Real    */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rmergemulv,
            (n,y->ptr.p_double,x->ptr.p_double,_state))


    for(i=0; i<=n-1; i++)
    {
        x->ptr.p_double[i] = x->ptr.p_double[i]*y->ptr.p_double[i];
    }
}


/*************************************************************************
Performs componentwise multiplication of row X[] by vector Y[]

INPUT PARAMETERS:
    N       -   vector length
    Y       -   vector to multiply by
    X       -   target row RowIdx

RESULT:
    X := componentwise(X*Y)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmergemulvr(ae_int_t n,
     /* Real    */ ae_vector* y,
     /* Real    */ ae_matrix* x,
     ae_int_t rowidx,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rmergemulv,
            (n,y->ptr.p_double,x->ptr.pp_double[rowidx],_state))


    for(i=0; i<=n-1; i++)
    {
        x->ptr.pp_double[rowidx][i] = x->ptr.pp_double[rowidx][i]*y->ptr.p_double[i];
    }
}


/*************************************************************************
Performs componentwise multiplication of row X[] by vector Y[]

INPUT PARAMETERS:
    N       -   vector length
    Y       -   vector to multiply by
    X       -   target row RowIdx

RESULT:
    X := componentwise(X*Y)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmergemulrv(ae_int_t n,
     /* Real    */ ae_matrix* y,
     ae_int_t rowidx,
     /* Real    */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rmergemulv,
            (n,y->ptr.pp_double[rowidx],x->ptr.p_double,_state))

    for(i=0; i<=n-1; i++)
    {
        x->ptr.p_double[i] = x->ptr.p_double[i]*y->ptr.pp_double[rowidx][i];
    }
}




/*************************************************************************
Performs componentwise division of vector X[] by vector Y[]

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmergedivv(ae_int_t n,
     /* Real    */ ae_vector* y,
     /* Real    */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_AVX2(rmergedivv,
            (n,y->ptr.p_double,x->ptr.p_double,_state))


    for(i=0; i<=n-1; i++)
        x->ptr.p_double[i] /= y->ptr.p_double[i];
}


/*************************************************************************
Performs componentwise division of row X[] by vector Y[]

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmergedivvr(ae_int_t n,
     /* Real    */ ae_vector* y,
     /* Real    */ ae_matrix* x,
     ae_int_t rowidx,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_AVX2(rmergedivv,
            (n,y->ptr.p_double,x->ptr.pp_double[rowidx],_state))


    for(i=0; i<=n-1; i++)
        x->ptr.pp_double[rowidx][i] /= y->ptr.p_double[i];
}


/*************************************************************************
Performs componentwise division of row X[] by vector Y[]

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmergedivrv(ae_int_t n,
     /* Real    */ ae_matrix* y,
     ae_int_t rowidx,
     /* Real    */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_AVX2(rmergedivv,
            (n,y->ptr.pp_double[rowidx],x->ptr.p_double,_state))

    for(i=0; i<=n-1; i++)
        x->ptr.p_double[i] /= y->ptr.pp_double[rowidx][i];
}

/*************************************************************************
Performs componentwise max of vector X[] and vector Y[]

INPUT PARAMETERS:
    N       -   vector length
    Y       -   vector to multiply by
    X       -   target vector

RESULT:
    X := componentwise_max(X,Y)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmergemaxv(ae_int_t n,
     /* Real    */ ae_vector* y,
     /* Real    */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rmergemaxv,
            (n,y->ptr.p_double,x->ptr.p_double,_state))

    for(i=0; i<=n-1; i++)
    {
        x->ptr.p_double[i] = ae_maxreal(x->ptr.p_double[i], y->ptr.p_double[i], _state);
    }
}


/*************************************************************************
Performs componentwise max of row X[] and vector Y[]

INPUT PARAMETERS:
    N       -   vector length
    Y       -   vector to multiply by
    X       -   target row RowIdx

RESULT:
    X := componentwise_max(X,Y)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmergemaxvr(ae_int_t n,
     /* Real    */ ae_vector* y,
     /* Real    */ ae_matrix* x,
     ae_int_t rowidx,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rmergemaxv,
            (n,y->ptr.p_double,x->ptr.pp_double[rowidx],_state))

    for(i=0; i<=n-1; i++)
    {
        x->ptr.pp_double[rowidx][i] = ae_maxreal(x->ptr.pp_double[rowidx][i], y->ptr.p_double[i], _state);
    }
}


/*************************************************************************
Performs componentwise max of row X[I] and vector Y[] 

INPUT PARAMETERS:
    N       -   vector length
    X       -   matrix, I-th row is source
    rowidx  -   target row RowIdx

RESULT:
    Y := componentwise_max(X,Y)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmergemaxrv(ae_int_t n,
     /* Real    */ ae_matrix* x,
     ae_int_t rowidx,
     /* Real    */ ae_vector* y,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rmergemaxv,
            (n,x->ptr.pp_double[rowidx],y->ptr.p_double,_state))

    for(i=0; i<=n-1; i++)
    {
        y->ptr.p_double[i] = ae_maxreal(y->ptr.p_double[i], x->ptr.pp_double[rowidx][i], _state);
    }
}

/*************************************************************************
Performs componentwise min of vector X[] and vector Y[]

INPUT PARAMETERS:
    N       -   vector length
    Y       -   source vector
    X       -   target vector

RESULT:
    X := componentwise_max(X,Y)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmergeminv(ae_int_t n,
     /* Real    */ ae_vector* y,
     /* Real    */ ae_vector* x,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rmergeminv,
            (n,y->ptr.p_double,x->ptr.p_double,_state))

    for(i=0; i<=n-1; i++)
    {
        x->ptr.p_double[i] = ae_minreal(x->ptr.p_double[i], y->ptr.p_double[i], _state);
    }
}


/*************************************************************************
Performs componentwise max of row X[] and vector Y[]

INPUT PARAMETERS:
    N       -   vector length
    Y       -   vector to multiply by
    X       -   target row RowIdx

RESULT:
    X := componentwise_max(X,Y)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmergeminvr(ae_int_t n,
     /* Real    */ ae_vector* y,
     /* Real    */ ae_matrix* x,
     ae_int_t rowidx,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rmergeminv,
            (n,y->ptr.p_double,x->ptr.pp_double[rowidx],_state))

    for(i=0; i<=n-1; i++)
    {
        x->ptr.pp_double[rowidx][i] = ae_minreal(x->ptr.pp_double[rowidx][i], y->ptr.p_double[i], _state);
    }
}


/*************************************************************************
Performs componentwise max of row X[I] and vector Y[] 

INPUT PARAMETERS:
    N       -   vector length
    X       -   matrix, I-th row is source
    X       -   target row RowIdx

RESULT:
    X := componentwise_max(X,Y)

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rmergeminrv(ae_int_t n,
     /* Real    */ ae_matrix* x,
     ae_int_t rowidx,
     /* Real    */ ae_vector* y,
     ae_state *_state)
{
    ae_int_t i;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rmergeminv,
            (n,x->ptr.pp_double[rowidx],y->ptr.p_double,_state))

    for(i=0; i<=n-1; i++)
    {
        y->ptr.p_double[i] = ae_minreal(y->ptr.p_double[i], x->ptr.pp_double[rowidx][i], _state);
    }
}
/*************************************************************************
Returns maximum X

INPUT PARAMETERS:
    N       -   vector length
    X       -   array[N], vector to process

OUTPUT PARAMETERS:
    max(X[i])
    zero for N=0

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
double rmaxv(ae_int_t n, /* Real    */ ae_vector* x, ae_state *_state)
{
    ae_int_t i;
    double v;
    double result;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_RETURN_SSE2_AVX2(rmaxv, (n, x->ptr.p_double, _state));
    
    if(n == 0)
        return 0.0;
    result = x->ptr.p_double[0];
    for(i=1; i<=n-1; i++)
    {
        v = x->ptr.p_double[i];
        if( v>result )
        {
            result = v;
        }
    }
    return result;
}

/*************************************************************************
Returns maximum X

INPUT PARAMETERS:
    N       -   vector length
    X       -   matrix to process, RowIdx-th row is processed

OUTPUT PARAMETERS:
    max(X[RowIdx,i])
    zero for N=0

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
double rmaxr(ae_int_t n,
     /* Real    */ ae_matrix* x,
     ae_int_t rowidx,
     ae_state *_state)
{
    ae_int_t i;
    double v;
    double result;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_RETURN_SSE2_AVX2(rmaxv,(n, x->ptr.pp_double[rowidx], _state))
    
    if(n == 0)
        return 0.0;
    result = x->ptr.pp_double[rowidx][0];
    for(i=1; i<=n-1; i++)
    {
        v = x->ptr.pp_double[rowidx][i];
        if( v>result )
        {
            result = v;
        }
    }
    return result;
}

/*************************************************************************
Returns maximum |X|

INPUT PARAMETERS:
    N       -   vector length
    X       -   array[N], vector to process

OUTPUT PARAMETERS:
    max(|X[i]|)
    zero for N=0

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
double rmaxabsv(ae_int_t n, /* Real    */ ae_vector* x, ae_state *_state)
{
    ae_int_t i;
    double v;
    double result;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_RETURN_SSE2_AVX2(rmaxabsv, (n, x->ptr.p_double, _state))

    result = (double)(0);
    for(i=0; i<=n-1; i++)
    {
        v = ae_fabs(x->ptr.p_double[i], _state);
        if( v>result )
        {
            result = v;
        }
    }
    return result;
}


/*************************************************************************
Returns maximum |X|

INPUT PARAMETERS:
    N       -   vector length
    X       -   matrix to process, RowIdx-th row is processed

OUTPUT PARAMETERS:
    max(|X[RowIdx,i]|)
    zero for N=0

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
double rmaxabsr(ae_int_t n,
     /* Real    */ ae_matrix* x,
     ae_int_t rowidx,
     ae_state *_state)
{
    ae_int_t i;
    double v;
    double result;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_RETURN_SSE2_AVX2(rmaxabsv,(n, x->ptr.pp_double[rowidx], _state))

    result = (double)(0);
    for(i=0; i<=n-1; i++)
    {
        v = ae_fabs(x->ptr.pp_double[rowidx][i], _state);
        if( v>result )
        {
            result = v;
        }
    }
    return result;
}

/*************************************************************************
Copies vector X[] to Y[], extended version

INPUT PARAMETERS:
    N       -   vector length
    X       -   source array
    OffsX   -   source offset
    Y       -   preallocated array[N]
    OffsY   -   destination offset

OUTPUT PARAMETERS:
    Y       -   N elements starting from OffsY are replaced by X[OffsX:OffsX+N-1]
    
NOTE: destination and source should NOT overlap

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void rcopyvx(ae_int_t n,
     /* Real    */ ae_vector* x,
     ae_int_t offsx,
     /* Real    */ ae_vector* y,
     ae_int_t offsy,
     ae_state *_state)
{
    ae_int_t j;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(rcopyvx,(n, x->ptr.p_double+offsx, y->ptr.p_double+offsy, _state))

    for(j=0; j<=n-1; j++)
    {
        y->ptr.p_double[offsy+j] = x->ptr.p_double[offsx+j];
    }
}

/*************************************************************************
Copies vector X[] to Y[], extended version

INPUT PARAMETERS:
    N       -   vector length
    X       -   source array
    OffsX   -   source offset
    Y       -   preallocated array[N]
    OffsY   -   destination offset

OUTPUT PARAMETERS:
    Y       -   N elements starting from OffsY are replaced by X[OffsX:OffsX+N-1]
    
NOTE: destination and source should NOT overlap

  -- ALGLIB --
     Copyright 20.01.2020 by Bochkanov Sergey
*************************************************************************/
void icopyvx(ae_int_t n,
     /* Integer */ ae_vector* x,
     ae_int_t offsx,
     /* Integer */ ae_vector* y,
     ae_int_t offsy,
     ae_state *_state)
{
    ae_int_t j;

    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    if( n>=_ABLASF_KERNEL_SIZE1 )
        _ALGLIB_KERNEL_VOID_SSE2_AVX2(icopyvx,(n, x->ptr.p_int+offsx, y->ptr.p_int+offsy, _state))

    for(j=0; j<=n-1; j++)
    {
        y->ptr.p_int[offsy+j] = x->ptr.p_int[offsx+j];
    }
}

/*************************************************************************
Matrix-vector product: y := alpha*op(A)*x + beta*y

NOTE: this  function  expects  Y  to  be  large enough to store result. No
      automatic preallocation happens for  smaller  arrays.  No  integrity
      checks is performed for sizes of A, x, y.

INPUT PARAMETERS:
    M   -   number of rows of op(A)
    N   -   number of columns of op(A)
    Alpha-  coefficient
    A   -   source matrix
    OpA -   operation type:
            * OpA=0     =>  op(A) = A
            * OpA=1     =>  op(A) = A^T
    X   -   input vector, has at least N elements
    Beta-   coefficient
    Y   -   preallocated output array, has at least M elements

OUTPUT PARAMETERS:
    Y   -   vector which stores result

HANDLING OF SPECIAL CASES:
    * if M=0, then subroutine does nothing. It does not even touch arrays.
    * if N=0 or Alpha=0.0, then:
      * if Beta=0, then Y is filled by zeros. A and X are  not  referenced
        at all. Initial values of Y are ignored (we do not  multiply  Y by
        zero, we just rewrite it by zeros)
      * if Beta<>0, then Y is replaced by Beta*Y
    * if M>0, N>0, Alpha<>0, but  Beta=0,  then  Y  is  replaced  by  A*x;
       initial state of Y is ignored (rewritten by  A*x,  without  initial
       multiplication by zeros).


  -- ALGLIB routine --

     01.09.2021
     Bochkanov Sergey
*************************************************************************/
void rgemv(ae_int_t m,
     ae_int_t n,
     double alpha,
     /* Real    */ ae_matrix* a,
     ae_int_t opa,
     /* Real    */ ae_vector* x,
     double beta,
     /* Real    */ ae_vector* y,
     ae_state *_state)
{
    ae_int_t i;
    ae_int_t j;
    double v;


    
    /*
     * Properly premultiply Y by Beta.
     *
     * Quick exit for M=0, N=0 or Alpha=0.
     * After this block we have M>0, N>0, Alpha<>0.
     */
    if( m<=0 )
    {
        return;
    }
    if( ae_fp_neq(beta,(double)(0)) )
    {
        rmulv(m, beta, y, _state);
    }
    else
    {
        rsetv(m, 0.0, y, _state);
    }
    if( n<=0||ae_fp_eq(alpha,0.0) )
    {
        return;
    }
    
    /*
     * Straight or transposed?
     */
    if( opa==0 )
    {
        /*
         * Try SIMD code
         */
        if( n>=_ABLASF_KERNEL_SIZE2 )
            _ALGLIB_KERNEL_VOID_AVX2_FMA(rgemv_straight, (m, n, alpha, a,
                x->ptr.p_double, y->ptr.p_double, _state))
        
        /*
         * Generic C version: y += A*x
         */
        for(i=0; i<=m-1; i++)
        {
            v = (double)(0);
            for(j=0; j<=n-1; j++)
            {
                v = v+a->ptr.pp_double[i][j]*x->ptr.p_double[j];
            }
            y->ptr.p_double[i] = alpha*v+y->ptr.p_double[i];
        }
        return;
    }
    if( opa==1 )
    {
        /*
         * Try SIMD code
         */
        if( m>=_ABLASF_KERNEL_SIZE2 )
            _ALGLIB_KERNEL_VOID_AVX2_FMA(rgemv_transposed, (m, n, alpha, a,
                x->ptr.p_double, y->ptr.p_double, _state))


        /*
         * Generic C version: y += A^T*x
         */
        for(i=0; i<=n-1; i++)
        {
            v = alpha*x->ptr.p_double[i];
            for(j=0; j<=m-1; j++)
            {
                y->ptr.p_double[j] = y->ptr.p_double[j]+v*a->ptr.pp_double[i][j];
            }
        }
        return;
    }
}


/*************************************************************************
Matrix-vector product: y := alpha*op(A)*x + beta*y

Here x, y, A are subvectors/submatrices of larger vectors/matrices.

NOTE: this  function  expects  Y  to  be  large enough to store result. No
      automatic preallocation happens for  smaller  arrays.  No  integrity
      checks is performed for sizes of A, x, y.

INPUT PARAMETERS:
    M   -   number of rows of op(A)
    N   -   number of columns of op(A)
    Alpha-  coefficient
    A   -   source matrix
    IA  -   submatrix offset (row index)
    JA  -   submatrix offset (column index)
    OpA -   operation type:
            * OpA=0     =>  op(A) = A
            * OpA=1     =>  op(A) = A^T
    X   -   input vector, has at least N+IX elements
    IX  -   subvector offset
    Beta-   coefficient
    Y   -   preallocated output array, has at least M+IY elements
    IY  -   subvector offset

OUTPUT PARAMETERS:
    Y   -   vector which stores result

HANDLING OF SPECIAL CASES:
    * if M=0, then subroutine does nothing. It does not even touch arrays.
    * if N=0 or Alpha=0.0, then:
      * if Beta=0, then Y is filled by zeros. A and X are  not  referenced
        at all. Initial values of Y are ignored (we do not  multiply  Y by
        zero, we just rewrite it by zeros)
      * if Beta<>0, then Y is replaced by Beta*Y
    * if M>0, N>0, Alpha<>0, but  Beta=0,  then  Y  is  replaced  by  A*x;
       initial state of Y is ignored (rewritten by  A*x,  without  initial
       multiplication by zeros).


  -- ALGLIB routine --

     01.09.2021
     Bochkanov Sergey
*************************************************************************/
void rgemvx(ae_int_t m,
     ae_int_t n,
     double alpha,
     /* Real    */ ae_matrix* a,
     ae_int_t ia,
     ae_int_t ja,
     ae_int_t opa,
     /* Real    */ ae_vector* x,
     ae_int_t ix,
     double beta,
     /* Real    */ ae_vector* y,
     ae_int_t iy,
     ae_state *_state)
{
    ae_int_t i;
    ae_int_t j;
    double v;


    
    /*
     * Properly premultiply Y by Beta.
     *
     * Quick exit for M=0, N=0 or Alpha=0.
     * After this block we have M>0, N>0, Alpha<>0.
     */
    if( m<=0 )
    {
        return;
    }
    if( ae_fp_neq(beta,(double)(0)) )
    {
        rmulvx(m, beta, y, iy, _state);
    }
    else
    {
        rsetvx(m, 0.0, y, iy, _state);
    }
    if( n<=0||ae_fp_eq(alpha,0.0) )
    {
        return;
    }
    
    /*
     * Straight or transposed?
     */
    if( opa==0 )
    {
        /*
         * Try SIMD code
         */
        if( n>=_ABLASF_KERNEL_SIZE2 )
            _ALGLIB_KERNEL_VOID_AVX2_FMA(rgemvx_straight, (m, n, alpha, a, ia, ja,
                x->ptr.p_double + ix, y->ptr.p_double + iy, _state))

        
        /*
         * Generic C code: y += A*x
         */
        for(i=0; i<=m-1; i++)
        {
            v = (double)(0);
            for(j=0; j<=n-1; j++)
            {
                v = v+a->ptr.pp_double[ia+i][ja+j]*x->ptr.p_double[ix+j];
            }
            y->ptr.p_double[iy+i] = alpha*v+y->ptr.p_double[iy+i];
        }
        return;
    }
    if( opa==1 )
    {
        /*
         * Try SIMD code
         */
        if( m>=_ABLASF_KERNEL_SIZE2 )
            _ALGLIB_KERNEL_VOID_AVX2_FMA(rgemvx_transposed, (m, n, alpha, a, ia, ja,
                x->ptr.p_double+ix, y->ptr.p_double+iy, _state))

        /*
         * Generic C code: y += A^T*x
         */
        for(i=0; i<=n-1; i++)
        {
            v = alpha*x->ptr.p_double[ix+i];
            for(j=0; j<=m-1; j++)
            {
                y->ptr.p_double[iy+j] = y->ptr.p_double[iy+j]+v*a->ptr.pp_double[ia+i][ja+j];
            }
        }
        return;
    }
}


/*************************************************************************
Rank-1 correction: A := A + alpha*u*v'

NOTE: this  function  expects  A  to  be  large enough to store result. No
      automatic preallocation happens for  smaller  arrays.  No  integrity
      checks is performed for sizes of A, u, v.

INPUT PARAMETERS:
    M   -   number of rows
    N   -   number of columns
    A   -   target MxN matrix
    Alpha-  coefficient
    U   -   vector #1
    V   -   vector #2


  -- ALGLIB routine --
     07.09.2021
     Bochkanov Sergey
*************************************************************************/
void rger(ae_int_t m,
     ae_int_t n,
     double alpha,
     /* Real    */ ae_vector* u,
     /* Real    */ ae_vector* v,
     /* Real    */ ae_matrix* a,
     ae_state *_state)
{
    ae_int_t i;
    ae_int_t j;
    double s;


    if( (m<=0||n<=0)||ae_fp_eq(alpha,(double)(0)) )
    {
        return;
    }
    for(i=0; i<=m-1; i++)
    {
        s = alpha*u->ptr.p_double[i];
        for(j=0; j<=n-1; j++)
        {
            a->ptr.pp_double[i][j] = a->ptr.pp_double[i][j]+s*v->ptr.p_double[j];
        }
    }
}


/*************************************************************************
This subroutine solves linear system op(A)*x=b where:
* A is NxN upper/lower triangular/unitriangular matrix
* X and B are Nx1 vectors
* "op" may be identity transformation or transposition

Solution replaces X.

IMPORTANT: * no overflow/underflow/denegeracy tests is performed.
           * no integrity checks for operand sizes, out-of-bounds accesses
             and so on is performed

INPUT PARAMETERS
    N   -   matrix size, N>=0
    A       -   matrix, actial matrix is stored in A[IA:IA+N-1,JA:JA+N-1]
    IA      -   submatrix offset
    JA      -   submatrix offset
    IsUpper -   whether matrix is upper triangular
    IsUnit  -   whether matrix is unitriangular
    OpType  -   transformation type:
                * 0 - no transformation
                * 1 - transposition
    X       -   right part, actual vector is stored in X[IX:IX+N-1]
    IX      -   offset
    
OUTPUT PARAMETERS
    X       -   solution replaces elements X[IX:IX+N-1]

  -- ALGLIB routine --
     (c) 07.09.2021 Bochkanov Sergey
*************************************************************************/
void rtrsvx(ae_int_t n,
     /* Real    */ ae_matrix* a,
     ae_int_t ia,
     ae_int_t ja,
     ae_bool isupper,
     ae_bool isunit,
     ae_int_t optype,
     /* Real    */ ae_vector* x,
     ae_int_t ix,
     ae_state *_state)
{
    ae_int_t i;
    ae_int_t j;
    double v;


    if( n<=0 )
    {
        return;
    }
    if( optype==0&&isupper )
    {
        for(i=n-1; i>=0; i--)
        {
            v = x->ptr.p_double[ix+i];
            for(j=i+1; j<=n-1; j++)
            {
                v = v-a->ptr.pp_double[ia+i][ja+j]*x->ptr.p_double[ix+j];
            }
            if( !isunit )
            {
                v = v/a->ptr.pp_double[ia+i][ja+i];
            }
            x->ptr.p_double[ix+i] = v;
        }
        return;
    }
    if( optype==0&&!isupper )
    {
        for(i=0; i<=n-1; i++)
        {
            v = x->ptr.p_double[ix+i];
            for(j=0; j<=i-1; j++)
            {
                v = v-a->ptr.pp_double[ia+i][ja+j]*x->ptr.p_double[ix+j];
            }
            if( !isunit )
            {
                v = v/a->ptr.pp_double[ia+i][ja+i];
            }
            x->ptr.p_double[ix+i] = v;
        }
        return;
    }
    if( optype==1&&isupper )
    {
        for(i=0; i<=n-1; i++)
        {
            v = x->ptr.p_double[ix+i];
            if( !isunit )
            {
                v = v/a->ptr.pp_double[ia+i][ja+i];
            }
            x->ptr.p_double[ix+i] = v;
            if( v==0 )
            {
                continue;
            }
            for(j=i+1; j<=n-1; j++)
            {
                x->ptr.p_double[ix+j] = x->ptr.p_double[ix+j]-v*a->ptr.pp_double[ia+i][ja+j];
            }
        }
        return;
    }
    if( optype==1&&!isupper )
    {
        for(i=n-1; i>=0; i--)
        {
            v = x->ptr.p_double[ix+i];
            if( !isunit )
            {
                v = v/a->ptr.pp_double[ia+i][ja+i];
            }
            x->ptr.p_double[ix+i] = v;
            if( v==0 )
            {
                continue;
            }
            for(j=0; j<=i-1; j++)
            {
                x->ptr.p_double[ix+j] = x->ptr.p_double[ix+j]-v*a->ptr.pp_double[ia+i][ja+j];
            }
        }
        return;
    }
    ae_assert(ae_false, "rTRSVX: unexpected operation type", _state);
}

/*************************************************************************
Fast rGEMM kernel with AVX2/FMA support

  -- ALGLIB routine --
     19.09.2021
     Bochkanov Sergey
*************************************************************************/
ae_bool ablasf_rgemm32basecase(
     ae_int_t m,
     ae_int_t n,
     ae_int_t k,
     double alpha,
     /* Real    */ ae_matrix* _a,
     ae_int_t ia,
     ae_int_t ja,
     ae_int_t optypea,
     /* Real    */ ae_matrix* _b,
     ae_int_t ib,
     ae_int_t jb,
     ae_int_t optypeb,
     double beta,
     /* Real    */ ae_matrix* _c,
     ae_int_t ic,
     ae_int_t jc,
     ae_state *_state)
{
#if !defined(_ALGLIB_HAS_AVX2_INTRINSICS)
    return ae_false;
#else
    const ae_int_t block_size = _ABLASF_BLOCK_SIZE;
    const ae_int_t micro_size = _ABLASF_MICRO_SIZE;
    ae_int_t out0, out1;
    double *c;
    ae_int_t stride_c;
    ae_int_t cpu_id = ae_cpuid();
    ae_int_t (*ablasf_packblk)(const double*, ae_int_t, ae_int_t, ae_int_t, ae_int_t, double*, ae_int_t, ae_int_t) = (k==32 && block_size==32) ? ablasf_packblkh32_avx2 : ablasf_packblkh_avx2;
    void     (*ablasf_dotblk)(const double *, const double *, ae_int_t, ae_int_t, ae_int_t, double *, ae_int_t)    = ablasf_dotblkh_avx2;
    void     (*ablasf_daxpby)(ae_int_t, double, const double *, double, double*) = ablasf_daxpby_avx2;

    /*
     * Determine CPU and kernel support
     */
    if( m>block_size || n>block_size || k>block_size || m==0 || n==0 || !(cpu_id&CPU_AVX2) )
        return ae_false;
#if defined(_ALGLIB_HAS_FMA_INTRINSICS)
    if( cpu_id&CPU_FMA )
        ablasf_dotblk  = ablasf_dotblkh_fma;
#endif
    
    /*
     * Prepare C
     */
    c = _c->ptr.pp_double[ic]+jc;
    stride_c = _c->stride;
    
    /*
     * Do we have alpha*A*B ?
     */
    if( alpha!=0 && k>0 )
    {
        /*
         * Prepare structures
         */
        ae_int_t base0, base1, offs0;
        double *a = _a->ptr.pp_double[ia]+ja;
        double *b = _b->ptr.pp_double[ib]+jb;
        ae_int_t stride_a = _a->stride;
        ae_int_t stride_b = _b->stride;
        double      _blka[_ABLASF_BLOCK_SIZE*_ABLASF_MICRO_SIZE+_ALGLIB_SIMD_ALIGNMENT_DOUBLES];
        double _blkb_long[_ABLASF_BLOCK_SIZE*_ABLASF_BLOCK_SIZE+_ALGLIB_SIMD_ALIGNMENT_DOUBLES];
        double      _blkc[_ABLASF_MICRO_SIZE*_ABLASF_BLOCK_SIZE+_ALGLIB_SIMD_ALIGNMENT_DOUBLES];
        double *blka          = (double*)ae_align(_blka,     _ALGLIB_SIMD_ALIGNMENT_BYTES);
        double *storageb_long = (double*)ae_align(_blkb_long,_ALGLIB_SIMD_ALIGNMENT_BYTES);
        double *blkc          = (double*)ae_align(_blkc,     _ALGLIB_SIMD_ALIGNMENT_BYTES);
        
        /*
         * Pack transform(B) into precomputed block form
         */
        for(base1=0; base1<n; base1+=micro_size)
        {
            const ae_int_t lim1 = n-base1<micro_size ? n-base1 : micro_size;
            double *curb = storageb_long+base1*block_size;
            ablasf_packblk(
                b + (optypeb==0 ? base1 : base1*stride_b), stride_b, optypeb==0 ? 1 : 0, k, lim1,
                curb, block_size, micro_size);
        }
        
        /*
         * Output
         */
        for(base0=0; base0<m; base0+=micro_size)
        {
            /*
             * Load block row of transform(A)
             */
            const ae_int_t lim0    = m-base0<micro_size ? m-base0 : micro_size;
            const ae_int_t round_k = ablasf_packblk(
                a + (optypea==0 ? base0*stride_a : base0), stride_a, optypea, k, lim0,
                blka, block_size, micro_size);
                
            /*
             * Compute block(A)'*entire(B)
             */
            for(base1=0; base1<n; base1+=micro_size)
                ablasf_dotblk(blka, storageb_long+base1*block_size, round_k, block_size, micro_size, blkc+base1, block_size);

            /*
             * Output block row of block(A)'*entire(B)
             */
            for(offs0=0; offs0<lim0; offs0++)
                ablasf_daxpby(n, alpha, blkc+offs0*block_size, beta, c+(base0+offs0)*stride_c);
        }
    }
    else
    {
        /*
         * No A*B, just beta*C (degenerate case, not optimized)
         */
        if( beta==0 )
        {
            for(out0=0; out0<m; out0++)
                for(out1=0; out1<n; out1++)
                    c[out0*stride_c+out1] = 0.0;
        }
        else if( beta!=1 )
        {
            for(out0=0; out0<m; out0++)
                for(out1=0; out1<n; out1++)
                    c[out0*stride_c+out1] *= beta;
        }
    }
    return ae_true;
#endif
}


/*************************************************************************
Returns recommended width of the SIMD-friendly buffer
*************************************************************************/
ae_int_t spchol_spsymmgetmaxsimd(ae_state *_state)
{
#if AE_CPU==AE_INTEL
    return 4;
#else
    return 1;
#endif
}

/*************************************************************************
Solving linear system: propagating computed supernode.

Propagates computed supernode to the rest of the RHS  using  SIMD-friendly
RHS storage format.

INPUT PARAMETERS:

OUTPUT PARAMETERS:

  -- ALGLIB routine --
     08.09.2021
     Bochkanov Sergey
*************************************************************************/
void spchol_propagatefwd(/* Real    */ ae_vector* x,
     ae_int_t cols0,
     ae_int_t blocksize,
     /* Integer */ ae_vector* superrowidx,
     ae_int_t rbase,
     ae_int_t offdiagsize,
     /* Real    */ ae_vector* rowstorage,
     ae_int_t offss,
     ae_int_t sstride,
     /* Real    */ ae_vector* simdbuf,
     ae_int_t simdwidth,
     ae_state *_state)
{
    ae_int_t i;
    ae_int_t j;
    ae_int_t k;
    ae_int_t baseoffs;
    double v;
    
    /*
     * Try SIMD kernels
     */
#if defined(_ALGLIB_HAS_FMA_INTRINSICS)
    if( sstride==4 || (blocksize==2 && sstride==2) )
        if( ae_cpuid()&CPU_FMA )
        {
            spchol_propagatefwd_fma(x, cols0, blocksize, superrowidx, rbase, offdiagsize, rowstorage, offss, sstride, simdbuf, simdwidth, _state);
            return;
        }
#endif

    /*
     * Propagate rank-1 node (can not be accelerated with SIMD)
     */
    if( blocksize==1 && sstride==1 )
    {
        /*
         * blocksize is 1, stride is 1
         */
        double vx = x->ptr.p_double[cols0];
        double *p_mat_row  = rowstorage->ptr.p_double+offss+1*1;
        double *p_simd_buf = simdbuf->ptr.p_double;
        ae_int_t *p_rowidx = superrowidx->ptr.p_int+rbase;
        if( simdwidth==4 )
        {
            for(k=0; k<offdiagsize; k++)
                p_simd_buf[p_rowidx[k]*4] -= p_mat_row[k]*vx;
        }
        else
        {
            for(k=0; k<offdiagsize; k++)
                p_simd_buf[p_rowidx[k]*simdwidth] -= p_mat_row[k]*vx;
        }
        return;
    }

    /*
     * Generic C code for generic propagate
     */
    for(k=0; k<=offdiagsize-1; k++)
    {
        i = superrowidx->ptr.p_int[rbase+k];
        baseoffs = offss+(k+blocksize)*sstride;
        v = simdbuf->ptr.p_double[i*simdwidth];
        for(j=0; j<=blocksize-1; j++)
        {
            v = v-rowstorage->ptr.p_double[baseoffs+j]*x->ptr.p_double[cols0+j];
        }
        simdbuf->ptr.p_double[i*simdwidth] = v;
    }
}


/*************************************************************************
Fast kernels for small supernodal updates: special 4x4x4x4 function.

! See comments on UpdateSupernode() for information  on generic supernodal
! updates, including notation used below.

The generic update has following form:

    S := S - scatter(U*D*Uc')

This specialized function performs AxBxCx4 update, i.e.:
* S is a tHeight*A matrix with row stride equal to 4 (usually it means that
  it has 3 or 4 columns)
* U is a uHeight*B matrix
* Uc' is a B*C matrix, with C<=A
* scatter() scatters rows and columns of U*Uc'
  
Return value:
* True if update was applied
* False if kernel refused to perform an update (quick exit for unsupported
  combinations of input sizes)

  -- ALGLIB routine --
     20.09.2020
     Bochkanov Sergey
*************************************************************************/
ae_bool spchol_updatekernelabc4(/* Real    */ ae_vector* rowstorage,
     ae_int_t offss,
     ae_int_t twidth,
     ae_int_t offsu,
     ae_int_t uheight,
     ae_int_t urank,
     ae_int_t urowstride,
     ae_int_t uwidth,
     /* Real    */ ae_vector* diagd,
     ae_int_t offsd,
     /* Integer */ ae_vector* raw2smap,
     /* Integer */ ae_vector* superrowidx,
     ae_int_t urbase,
     ae_state *_state)
{
    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    _ALGLIB_KERNEL_RETURN_AVX2_FMA(spchol_updatekernelabc4,(rowstorage->ptr.p_double, offss, twidth, offsu, uheight, urank, urowstride, uwidth, diagd->ptr.p_double, offsd, raw2smap->ptr.p_int, superrowidx->ptr.p_int, urbase, _state))

    /*
     * Generic code
     */
    ae_int_t k;
    ae_int_t targetrow;
    ae_int_t targetcol;
    ae_int_t offsk;
    double d0;
    double d1;
    double d2;
    double d3;
    double u00;
    double u01;
    double u02;
    double u03;
    double u10;
    double u11;
    double u12;
    double u13;
    double u20;
    double u21;
    double u22;
    double u23;
    double u30;
    double u31;
    double u32;
    double u33;
    double uk0;
    double uk1;
    double uk2;
    double uk3;
    ae_int_t srccol0;
    ae_int_t srccol1;
    ae_int_t srccol2;
    ae_int_t srccol3;
    ae_bool result;


    
    /*
     * Filter out unsupported combinations (ones that are too sparse for the non-SIMD code)
     */
    result = ae_false;
    if( twidth<3||twidth>4 )
    {
        return result;
    }
    if( uwidth<1||uwidth>4 )
    {
        return result;
    }
    if( urank>4 )
    {
        return result;
    }
    
    /*
     * Determine source columns for target columns, -1 if target column
     * is not updated.
     */
    srccol0 = -1;
    srccol1 = -1;
    srccol2 = -1;
    srccol3 = -1;
    for(k=0; k<=uwidth-1; k++)
    {
        targetcol = raw2smap->ptr.p_int[superrowidx->ptr.p_int[urbase+k]];
        if( targetcol==0 )
        {
            srccol0 = k;
        }
        if( targetcol==1 )
        {
            srccol1 = k;
        }
        if( targetcol==2 )
        {
            srccol2 = k;
        }
        if( targetcol==3 )
        {
            srccol3 = k;
        }
    }
    
    /*
     * Load update matrix into aligned/rearranged 4x4 storage
     */
    d0 = (double)(0);
    d1 = (double)(0);
    d2 = (double)(0);
    d3 = (double)(0);
    u00 = (double)(0);
    u01 = (double)(0);
    u02 = (double)(0);
    u03 = (double)(0);
    u10 = (double)(0);
    u11 = (double)(0);
    u12 = (double)(0);
    u13 = (double)(0);
    u20 = (double)(0);
    u21 = (double)(0);
    u22 = (double)(0);
    u23 = (double)(0);
    u30 = (double)(0);
    u31 = (double)(0);
    u32 = (double)(0);
    u33 = (double)(0);
    if( urank>=1 )
    {
        d0 = diagd->ptr.p_double[offsd+0];
    }
    if( urank>=2 )
    {
        d1 = diagd->ptr.p_double[offsd+1];
    }
    if( urank>=3 )
    {
        d2 = diagd->ptr.p_double[offsd+2];
    }
    if( urank>=4 )
    {
        d3 = diagd->ptr.p_double[offsd+3];
    }
    if( srccol0>=0 )
    {
        if( urank>=1 )
        {
            u00 = d0*rowstorage->ptr.p_double[offsu+srccol0*urowstride+0];
        }
        if( urank>=2 )
        {
            u01 = d1*rowstorage->ptr.p_double[offsu+srccol0*urowstride+1];
        }
        if( urank>=3 )
        {
            u02 = d2*rowstorage->ptr.p_double[offsu+srccol0*urowstride+2];
        }
        if( urank>=4 )
        {
            u03 = d3*rowstorage->ptr.p_double[offsu+srccol0*urowstride+3];
        }
    }
    if( srccol1>=0 )
    {
        if( urank>=1 )
        {
            u10 = d0*rowstorage->ptr.p_double[offsu+srccol1*urowstride+0];
        }
        if( urank>=2 )
        {
            u11 = d1*rowstorage->ptr.p_double[offsu+srccol1*urowstride+1];
        }
        if( urank>=3 )
        {
            u12 = d2*rowstorage->ptr.p_double[offsu+srccol1*urowstride+2];
        }
        if( urank>=4 )
        {
            u13 = d3*rowstorage->ptr.p_double[offsu+srccol1*urowstride+3];
        }
    }
    if( srccol2>=0 )
    {
        if( urank>=1 )
        {
            u20 = d0*rowstorage->ptr.p_double[offsu+srccol2*urowstride+0];
        }
        if( urank>=2 )
        {
            u21 = d1*rowstorage->ptr.p_double[offsu+srccol2*urowstride+1];
        }
        if( urank>=3 )
        {
            u22 = d2*rowstorage->ptr.p_double[offsu+srccol2*urowstride+2];
        }
        if( urank>=4 )
        {
            u23 = d3*rowstorage->ptr.p_double[offsu+srccol2*urowstride+3];
        }
    }
    if( srccol3>=0 )
    {
        if( urank>=1 )
        {
            u30 = d0*rowstorage->ptr.p_double[offsu+srccol3*urowstride+0];
        }
        if( urank>=2 )
        {
            u31 = d1*rowstorage->ptr.p_double[offsu+srccol3*urowstride+1];
        }
        if( urank>=3 )
        {
            u32 = d2*rowstorage->ptr.p_double[offsu+srccol3*urowstride+2];
        }
        if( urank>=4 )
        {
            u33 = d3*rowstorage->ptr.p_double[offsu+srccol3*urowstride+3];
        }
    }
    
    /*
     * Run update
     */
    if( urank==1 )
    {
        for(k=0; k<=uheight-1; k++)
        {
            targetrow = offss+raw2smap->ptr.p_int[superrowidx->ptr.p_int[urbase+k]]*4;
            offsk = offsu+k*urowstride;
            uk0 = rowstorage->ptr.p_double[offsk+0];
            rowstorage->ptr.p_double[targetrow+0] = rowstorage->ptr.p_double[targetrow+0]-u00*uk0;
            rowstorage->ptr.p_double[targetrow+1] = rowstorage->ptr.p_double[targetrow+1]-u10*uk0;
            rowstorage->ptr.p_double[targetrow+2] = rowstorage->ptr.p_double[targetrow+2]-u20*uk0;
            rowstorage->ptr.p_double[targetrow+3] = rowstorage->ptr.p_double[targetrow+3]-u30*uk0;
        }
    }
    if( urank==2 )
    {
        for(k=0; k<=uheight-1; k++)
        {
            targetrow = offss+raw2smap->ptr.p_int[superrowidx->ptr.p_int[urbase+k]]*4;
            offsk = offsu+k*urowstride;
            uk0 = rowstorage->ptr.p_double[offsk+0];
            uk1 = rowstorage->ptr.p_double[offsk+1];
            rowstorage->ptr.p_double[targetrow+0] = rowstorage->ptr.p_double[targetrow+0]-u00*uk0-u01*uk1;
            rowstorage->ptr.p_double[targetrow+1] = rowstorage->ptr.p_double[targetrow+1]-u10*uk0-u11*uk1;
            rowstorage->ptr.p_double[targetrow+2] = rowstorage->ptr.p_double[targetrow+2]-u20*uk0-u21*uk1;
            rowstorage->ptr.p_double[targetrow+3] = rowstorage->ptr.p_double[targetrow+3]-u30*uk0-u31*uk1;
        }
    }
    if( urank==3 )
    {
        for(k=0; k<=uheight-1; k++)
        {
            targetrow = offss+raw2smap->ptr.p_int[superrowidx->ptr.p_int[urbase+k]]*4;
            offsk = offsu+k*urowstride;
            uk0 = rowstorage->ptr.p_double[offsk+0];
            uk1 = rowstorage->ptr.p_double[offsk+1];
            uk2 = rowstorage->ptr.p_double[offsk+2];
            rowstorage->ptr.p_double[targetrow+0] = rowstorage->ptr.p_double[targetrow+0]-u00*uk0-u01*uk1-u02*uk2;
            rowstorage->ptr.p_double[targetrow+1] = rowstorage->ptr.p_double[targetrow+1]-u10*uk0-u11*uk1-u12*uk2;
            rowstorage->ptr.p_double[targetrow+2] = rowstorage->ptr.p_double[targetrow+2]-u20*uk0-u21*uk1-u22*uk2;
            rowstorage->ptr.p_double[targetrow+3] = rowstorage->ptr.p_double[targetrow+3]-u30*uk0-u31*uk1-u32*uk2;
        }
    }
    if( urank==4 )
    {
        for(k=0; k<=uheight-1; k++)
        {
            targetrow = offss+raw2smap->ptr.p_int[superrowidx->ptr.p_int[urbase+k]]*4;
            offsk = offsu+k*urowstride;
            uk0 = rowstorage->ptr.p_double[offsk+0];
            uk1 = rowstorage->ptr.p_double[offsk+1];
            uk2 = rowstorage->ptr.p_double[offsk+2];
            uk3 = rowstorage->ptr.p_double[offsk+3];
            rowstorage->ptr.p_double[targetrow+0] = rowstorage->ptr.p_double[targetrow+0]-u00*uk0-u01*uk1-u02*uk2-u03*uk3;
            rowstorage->ptr.p_double[targetrow+1] = rowstorage->ptr.p_double[targetrow+1]-u10*uk0-u11*uk1-u12*uk2-u13*uk3;
            rowstorage->ptr.p_double[targetrow+2] = rowstorage->ptr.p_double[targetrow+2]-u20*uk0-u21*uk1-u22*uk2-u23*uk3;
            rowstorage->ptr.p_double[targetrow+3] = rowstorage->ptr.p_double[targetrow+3]-u30*uk0-u31*uk1-u32*uk2-u33*uk3;
        }
    }
    result = ae_true;
    return result;
}


/*************************************************************************
Fast kernels for small supernodal updates: special 4x4x4x4 function.

! See comments on UpdateSupernode() for information  on generic supernodal
! updates, including notation used below.

The generic update has following form:

    S := S - scatter(U*D*Uc')

This specialized function performs 4x4x4x4 update, i.e.:
* S is a tHeight*4 matrix
* U is a uHeight*4 matrix
* Uc' is a 4*4 matrix
* scatter() scatters rows of U*Uc', but does not scatter columns (they are
  densely packed).
  
Return value:
* True if update was applied
* False if kernel refused to perform an update.

  -- ALGLIB routine --
     20.09.2020
     Bochkanov Sergey
*************************************************************************/
ae_bool spchol_updatekernel4444(/* Real    */ ae_vector* rowstorage,
     ae_int_t offss,
     ae_int_t sheight,
     ae_int_t offsu,
     ae_int_t uheight,
     /* Real    */ ae_vector* diagd,
     ae_int_t offsd,
     /* Integer */ ae_vector* raw2smap,
     /* Integer */ ae_vector* superrowidx,
     ae_int_t urbase,
     ae_state *_state)
{
    ae_int_t k;
    ae_int_t targetrow;
    ae_int_t offsk;
    double d0;
    double d1;
    double d2;
    double d3;
    double u00;
    double u01;
    double u02;
    double u03;
    double u10;
    double u11;
    double u12;
    double u13;
    double u20;
    double u21;
    double u22;
    double u23;
    double u30;
    double u31;
    double u32;
    double u33;
    double uk0;
    double uk1;
    double uk2;
    double uk3;
    ae_bool result;


    /*
     * Try fast kernels.
     * On success this macro will return, on failure to find kernel it will pass execution to the generic C implementation
     */
    _ALGLIB_KERNEL_RETURN_AVX2_FMA(spchol_updatekernel4444,(rowstorage->ptr.p_double, offss, sheight, offsu, uheight, diagd->ptr.p_double, offsd, raw2smap->ptr.p_int, superrowidx->ptr.p_int, urbase, _state))

    /*
     * Generic C fallback code
     */
    d0 = diagd->ptr.p_double[offsd+0];
    d1 = diagd->ptr.p_double[offsd+1];
    d2 = diagd->ptr.p_double[offsd+2];
    d3 = diagd->ptr.p_double[offsd+3];
    u00 = d0*rowstorage->ptr.p_double[offsu+0*4+0];
    u01 = d1*rowstorage->ptr.p_double[offsu+0*4+1];
    u02 = d2*rowstorage->ptr.p_double[offsu+0*4+2];
    u03 = d3*rowstorage->ptr.p_double[offsu+0*4+3];
    u10 = d0*rowstorage->ptr.p_double[offsu+1*4+0];
    u11 = d1*rowstorage->ptr.p_double[offsu+1*4+1];
    u12 = d2*rowstorage->ptr.p_double[offsu+1*4+2];
    u13 = d3*rowstorage->ptr.p_double[offsu+1*4+3];
    u20 = d0*rowstorage->ptr.p_double[offsu+2*4+0];
    u21 = d1*rowstorage->ptr.p_double[offsu+2*4+1];
    u22 = d2*rowstorage->ptr.p_double[offsu+2*4+2];
    u23 = d3*rowstorage->ptr.p_double[offsu+2*4+3];
    u30 = d0*rowstorage->ptr.p_double[offsu+3*4+0];
    u31 = d1*rowstorage->ptr.p_double[offsu+3*4+1];
    u32 = d2*rowstorage->ptr.p_double[offsu+3*4+2];
    u33 = d3*rowstorage->ptr.p_double[offsu+3*4+3];
    if( sheight==uheight )
    {
        /*
         * No row scatter, the most efficient code
         */
        for(k=0; k<=uheight-1; k++)
        {
            targetrow = offss+k*4;
            offsk = offsu+k*4;
            uk0 = rowstorage->ptr.p_double[offsk+0];
            uk1 = rowstorage->ptr.p_double[offsk+1];
            uk2 = rowstorage->ptr.p_double[offsk+2];
            uk3 = rowstorage->ptr.p_double[offsk+3];
            rowstorage->ptr.p_double[targetrow+0] = rowstorage->ptr.p_double[targetrow+0]-u00*uk0-u01*uk1-u02*uk2-u03*uk3;
            rowstorage->ptr.p_double[targetrow+1] = rowstorage->ptr.p_double[targetrow+1]-u10*uk0-u11*uk1-u12*uk2-u13*uk3;
            rowstorage->ptr.p_double[targetrow+2] = rowstorage->ptr.p_double[targetrow+2]-u20*uk0-u21*uk1-u22*uk2-u23*uk3;
            rowstorage->ptr.p_double[targetrow+3] = rowstorage->ptr.p_double[targetrow+3]-u30*uk0-u31*uk1-u32*uk2-u33*uk3;
        }
    }
    else
    {
        /*
         * Row scatter is performed, less efficient code using double mapping to determine target row index
         */
        for(k=0; k<=uheight-1; k++)
        {
            targetrow = offss+raw2smap->ptr.p_int[superrowidx->ptr.p_int[urbase+k]]*4;
            offsk = offsu+k*4;
            uk0 = rowstorage->ptr.p_double[offsk+0];
            uk1 = rowstorage->ptr.p_double[offsk+1];
            uk2 = rowstorage->ptr.p_double[offsk+2];
            uk3 = rowstorage->ptr.p_double[offsk+3];
            rowstorage->ptr.p_double[targetrow+0] = rowstorage->ptr.p_double[targetrow+0]-u00*uk0-u01*uk1-u02*uk2-u03*uk3;
            rowstorage->ptr.p_double[targetrow+1] = rowstorage->ptr.p_double[targetrow+1]-u10*uk0-u11*uk1-u12*uk2-u13*uk3;
            rowstorage->ptr.p_double[targetrow+2] = rowstorage->ptr.p_double[targetrow+2]-u20*uk0-u21*uk1-u22*uk2-u23*uk3;
            rowstorage->ptr.p_double[targetrow+3] = rowstorage->ptr.p_double[targetrow+3]-u30*uk0-u31*uk1-u32*uk2-u33*uk3;
        }
    }
    result = ae_true;
    return result;
}

/* ALGLIB_NO_FAST_KERNELS */
#endif



}


/////////////////////////////////////////////////////////////////////////
//
// THIS SECTION CONTAINS PARALLEL SUBROUTINES
//
/////////////////////////////////////////////////////////////////////////
namespace alglib_impl
{


}

