nuttx/libs/libc/math/lib_sqrtf.c

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/****************************************************************************
* libs/libc/math/lib_sqrtf.c
*
* This file is a part of NuttX:
*
* Copyright (C) 2012 Gregory Nutt. All rights reserved.
* Ported by: Darcy Gong
*
* It derives from the Rhombus OS math library by Nick Johnson which has
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* a compatible, MIT-style license:
*
* Copyright (C) 2009-2011 Nick Johnson <nickbjohnson4224 at gmail.com>
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*
* Permission to use, copy, modify, and distribute this software for any
* purpose with or without fee is hereby granted, provided that the above
* copyright notice and this permission notice appear in all copies.
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*
* THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
* WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
* MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
* ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
* WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
* ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
* OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
*
****************************************************************************/
/****************************************************************************
* Included Files
****************************************************************************/
#include <nuttx/config.h>
#include <nuttx/compiler.h>
#include <math.h>
#include <errno.h>
#include "libc.h"
/****************************************************************************
* Public Functions
****************************************************************************/
#ifndef CONFIG_LIBM_ARCH_SQRTF
float sqrtf(float x)
{
float y;
/* Filter out invalid/trivial inputs */
if (x < 0.0F)
{
set_errno(EDOM);
return NAN_F;
}
if (isnanf(x))
{
return NAN_F;
}
if (isinff(x))
{
return INFINITY_F;
}
if (x == 0.0F)
{
return 0.0F;
}
/* Guess square root (using bit manipulation) */
y = lib_sqrtapprox(x);
/* Perform three iterations of approximation. This number (3) is
* definitely optimal
*/
y = 0.5F * (y + x / y);
y = 0.5F * (y + x / y);
y = 0.5F * (y + x / y);
return y;
}
#endif