152 lines
5.0 KiB
C
152 lines
5.0 KiB
C
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/*-
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* Copyright (c) 2013 Bruce D. Evans
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* 1. Redistributions of source code must retain the above copyright
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* notice unmodified, this list of conditions, and the following
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* disclaimer.
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
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* OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
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* IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
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* NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
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* THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#include <sys/cdefs.h>
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__FBSDID("$FreeBSD$");
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#include <complex.h>
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#include <float.h>
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#include "fpmath.h"
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#include "math.h"
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#include "math_private.h"
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#define MANT_DIG FLT_MANT_DIG
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#define MAX_EXP FLT_MAX_EXP
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#define MIN_EXP FLT_MIN_EXP
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static const float
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ln2f_hi = 6.9314575195e-1, /* 0xb17200.0p-24 */
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ln2f_lo = 1.4286067653e-6; /* 0xbfbe8e.0p-43 */
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float complex
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clogf(float complex z)
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{
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float_t ax, ax2h, ax2l, axh, axl, ay, ay2h, ay2l, ayh, ayl, sh, sl, t;
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float x, y, v;
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uint32_t hax, hay;
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int kx, ky;
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x = crealf(z);
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y = cimagf(z);
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v = atan2f(y, x);
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ax = fabsf(x);
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ay = fabsf(y);
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if (ax < ay) {
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t = ax;
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ax = ay;
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ay = t;
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}
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GET_FLOAT_WORD(hax, ax);
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kx = (hax >> 23) - 127;
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GET_FLOAT_WORD(hay, ay);
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ky = (hay >> 23) - 127;
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/* Handle NaNs and Infs using the general formula. */
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if (kx == MAX_EXP || ky == MAX_EXP)
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return (CMPLXF(logf(hypotf(x, y)), v));
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/* Avoid spurious underflow, and reduce inaccuracies when ax is 1. */
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if (hax == 0x3f800000) {
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if (ky < (MIN_EXP - 1) / 2)
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return (CMPLXF((ay / 2) * ay, v));
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return (CMPLXF(log1pf(ay * ay) / 2, v));
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}
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/* Avoid underflow when ax is not small. Also handle zero args. */
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if (kx - ky > MANT_DIG || hay == 0)
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return (CMPLXF(logf(ax), v));
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/* Avoid overflow. */
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if (kx >= MAX_EXP - 1)
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return (CMPLXF(logf(hypotf(x * 0x1p-126F, y * 0x1p-126F)) +
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(MAX_EXP - 2) * ln2f_lo + (MAX_EXP - 2) * ln2f_hi, v));
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if (kx >= (MAX_EXP - 1) / 2)
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return (CMPLXF(logf(hypotf(x, y)), v));
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/* Reduce inaccuracies and avoid underflow when ax is denormal. */
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if (kx <= MIN_EXP - 2)
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return (CMPLXF(logf(hypotf(x * 0x1p127F, y * 0x1p127F)) +
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(MIN_EXP - 2) * ln2f_lo + (MIN_EXP - 2) * ln2f_hi, v));
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/* Avoid remaining underflows (when ax is small but not denormal). */
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if (ky < (MIN_EXP - 1) / 2 + MANT_DIG)
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return (CMPLXF(logf(hypotf(x, y)), v));
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/* Calculate ax*ax and ay*ay exactly using Dekker's algorithm. */
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t = (float)(ax * (0x1p12F + 1));
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axh = (float)(ax - t) + t;
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axl = ax - axh;
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ax2h = ax * ax;
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ax2l = axh * axh - ax2h + 2 * axh * axl + axl * axl;
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t = (float)(ay * (0x1p12F + 1));
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ayh = (float)(ay - t) + t;
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ayl = ay - ayh;
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ay2h = ay * ay;
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ay2l = ayh * ayh - ay2h + 2 * ayh * ayl + ayl * ayl;
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/*
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* When log(|z|) is far from 1, accuracy in calculating the sum
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* of the squares is not very important since log() reduces
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* inaccuracies. We depended on this to use the general
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* formula when log(|z|) is very far from 1. When log(|z|) is
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* moderately far from 1, we go through the extra-precision
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* calculations to reduce branches and gain a little accuracy.
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*
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* When |z| is near 1, we subtract 1 and use log1p() and don't
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* leave it to log() to subtract 1, since we gain at least 1 bit
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* of accuracy in this way.
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*
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* When |z| is very near 1, subtracting 1 can cancel almost
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* 3*MANT_DIG bits. We arrange that subtracting 1 is exact in
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* doubled precision, and then do the rest of the calculation
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* in sloppy doubled precision. Although large cancellations
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* often lose lots of accuracy, here the final result is exact
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* in doubled precision if the large calculation occurs (because
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* then it is exact in tripled precision and the cancellation
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* removes enough bits to fit in doubled precision). Thus the
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* result is accurate in sloppy doubled precision, and the only
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* significant loss of accuracy is when it is summed and passed
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* to log1p().
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*/
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sh = ax2h;
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sl = ay2h;
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_2sumF(sh, sl);
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if (sh < 0.5F || sh >= 3)
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return (CMPLXF(logf(ay2l + ax2l + sl + sh) / 2, v));
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sh -= 1;
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_2sum(sh, sl);
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_2sum(ax2l, ay2l);
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/* Briggs-Kahan algorithm (except we discard the final low term): */
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_2sum(sh, ax2l);
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_2sum(sl, ay2l);
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t = ax2l + sl;
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_2sumF(sh, t);
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return (CMPLXF(log1pf(ay2l + t + sh) / 2, v));
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}
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