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c007ce824d
Preparation was in CL 134570043. This CL contains only the effect of 'hg mv src/pkg/* src'. For more about the move, see golang.org/s/go14nopkg.
192 lines
5.2 KiB
Go
192 lines
5.2 KiB
Go
// Copyright 2009 The Go Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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package math
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// Exp returns e**x, the base-e exponential of x.
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//
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// Special cases are:
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// Exp(+Inf) = +Inf
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// Exp(NaN) = NaN
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// Very large values overflow to 0 or +Inf.
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// Very small values underflow to 1.
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func Exp(x float64) float64
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// The original C code, the long comment, and the constants
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// below are from FreeBSD's /usr/src/lib/msun/src/e_exp.c
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// and came with this notice. The go code is a simplified
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// version of the original C.
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//
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// ====================================================
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// Copyright (C) 2004 by Sun Microsystems, Inc. All rights reserved.
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//
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// Permission to use, copy, modify, and distribute this
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// software is freely granted, provided that this notice
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// is preserved.
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// ====================================================
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//
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//
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// exp(x)
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// Returns the exponential of x.
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//
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// Method
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// 1. Argument reduction:
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// Reduce x to an r so that |r| <= 0.5*ln2 ~ 0.34658.
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// Given x, find r and integer k such that
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//
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// x = k*ln2 + r, |r| <= 0.5*ln2.
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//
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// Here r will be represented as r = hi-lo for better
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// accuracy.
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//
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// 2. Approximation of exp(r) by a special rational function on
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// the interval [0,0.34658]:
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// Write
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// R(r**2) = r*(exp(r)+1)/(exp(r)-1) = 2 + r*r/6 - r**4/360 + ...
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// We use a special Remes algorithm on [0,0.34658] to generate
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// a polynomial of degree 5 to approximate R. The maximum error
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// of this polynomial approximation is bounded by 2**-59. In
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// other words,
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// R(z) ~ 2.0 + P1*z + P2*z**2 + P3*z**3 + P4*z**4 + P5*z**5
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// (where z=r*r, and the values of P1 to P5 are listed below)
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// and
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// | 5 | -59
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// | 2.0+P1*z+...+P5*z - R(z) | <= 2
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// | |
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// The computation of exp(r) thus becomes
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// 2*r
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// exp(r) = 1 + -------
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// R - r
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// r*R1(r)
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// = 1 + r + ----------- (for better accuracy)
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// 2 - R1(r)
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// where
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// 2 4 10
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// R1(r) = r - (P1*r + P2*r + ... + P5*r ).
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//
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// 3. Scale back to obtain exp(x):
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// From step 1, we have
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// exp(x) = 2**k * exp(r)
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//
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// Special cases:
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// exp(INF) is INF, exp(NaN) is NaN;
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// exp(-INF) is 0, and
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// for finite argument, only exp(0)=1 is exact.
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//
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// Accuracy:
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// according to an error analysis, the error is always less than
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// 1 ulp (unit in the last place).
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//
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// Misc. info.
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// For IEEE double
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// if x > 7.09782712893383973096e+02 then exp(x) overflow
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// if x < -7.45133219101941108420e+02 then exp(x) underflow
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//
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// Constants:
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// The hexadecimal values are the intended ones for the following
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// constants. The decimal values may be used, provided that the
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// compiler will convert from decimal to binary accurately enough
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// to produce the hexadecimal values shown.
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func exp(x float64) float64 {
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const (
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Ln2Hi = 6.93147180369123816490e-01
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Ln2Lo = 1.90821492927058770002e-10
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Log2e = 1.44269504088896338700e+00
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Overflow = 7.09782712893383973096e+02
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Underflow = -7.45133219101941108420e+02
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NearZero = 1.0 / (1 << 28) // 2**-28
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)
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// special cases
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switch {
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case IsNaN(x) || IsInf(x, 1):
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return x
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case IsInf(x, -1):
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return 0
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case x > Overflow:
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return Inf(1)
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case x < Underflow:
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return 0
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case -NearZero < x && x < NearZero:
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return 1 + x
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}
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// reduce; computed as r = hi - lo for extra precision.
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var k int
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switch {
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case x < 0:
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k = int(Log2e*x - 0.5)
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case x > 0:
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k = int(Log2e*x + 0.5)
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}
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hi := x - float64(k)*Ln2Hi
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lo := float64(k) * Ln2Lo
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// compute
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return expmulti(hi, lo, k)
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}
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// Exp2 returns 2**x, the base-2 exponential of x.
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//
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// Special cases are the same as Exp.
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func Exp2(x float64) float64
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func exp2(x float64) float64 {
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const (
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Ln2Hi = 6.93147180369123816490e-01
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Ln2Lo = 1.90821492927058770002e-10
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Overflow = 1.0239999999999999e+03
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Underflow = -1.0740e+03
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)
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// special cases
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switch {
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case IsNaN(x) || IsInf(x, 1):
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return x
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case IsInf(x, -1):
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return 0
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case x > Overflow:
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return Inf(1)
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case x < Underflow:
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return 0
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}
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// argument reduction; x = r×lg(e) + k with |r| ≤ ln(2)/2.
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// computed as r = hi - lo for extra precision.
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var k int
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switch {
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case x > 0:
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k = int(x + 0.5)
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case x < 0:
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k = int(x - 0.5)
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}
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t := x - float64(k)
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hi := t * Ln2Hi
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lo := -t * Ln2Lo
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// compute
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return expmulti(hi, lo, k)
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}
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// exp1 returns e**r × 2**k where r = hi - lo and |r| ≤ ln(2)/2.
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func expmulti(hi, lo float64, k int) float64 {
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const (
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P1 = 1.66666666666666019037e-01 /* 0x3FC55555; 0x5555553E */
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P2 = -2.77777777770155933842e-03 /* 0xBF66C16C; 0x16BEBD93 */
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P3 = 6.61375632143793436117e-05 /* 0x3F11566A; 0xAF25DE2C */
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P4 = -1.65339022054652515390e-06 /* 0xBEBBBD41; 0xC5D26BF1 */
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P5 = 4.13813679705723846039e-08 /* 0x3E663769; 0x72BEA4D0 */
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)
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r := hi - lo
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t := r * r
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c := r - t*(P1+t*(P2+t*(P3+t*(P4+t*P5))))
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y := 1 - ((lo - (r*c)/(2-c)) - hi)
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// TODO(rsc): make sure Ldexp can handle boundary k
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return Ldexp(y, k)
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}
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