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[/] [openrisc/] [trunk/] [gnu-dev/] [or1k-gcc/] [libgo/] [go/] [math/] [log1p.go] - Blame information for rev 801

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1 747 jeremybenn
// Copyright 2010 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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// The original C code, the long comment, and the constants
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// below are from FreeBSD's /usr/src/lib/msun/src/s_log1p.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) 1993 by Sun Microsystems, Inc. All rights reserved.
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//
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// Developed at SunPro, a Sun Microsystems, Inc. business.
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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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// double log1p(double x)
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//
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// Method :
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//   1. Argument Reduction: find k and f such that
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//                      1+x = 2**k * (1+f),
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//         where  sqrt(2)/2 < 1+f < sqrt(2) .
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//
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//      Note. If k=0, then f=x is exact. However, if k!=0, then f
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//      may not be representable exactly. In that case, a correction
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//      term is need. Let u=1+x rounded. Let c = (1+x)-u, then
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//      log(1+x) - log(u) ~ c/u. Thus, we proceed to compute log(u),
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//      and add back the correction term c/u.
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//      (Note: when x > 2**53, one can simply return log(x))
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//
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//   2. Approximation of log1p(f).
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//      Let s = f/(2+f) ; based on log(1+f) = log(1+s) - log(1-s)
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//               = 2s + 2/3 s**3 + 2/5 s**5 + .....,
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//               = 2s + s*R
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//      We use a special Reme algorithm on [0,0.1716] to generate
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//      a polynomial of degree 14 to approximate R The maximum error
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//      of this polynomial approximation is bounded by 2**-58.45. In
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//      other words,
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//                      2      4      6      8      10      12      14
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//          R(z) ~ Lp1*s +Lp2*s +Lp3*s +Lp4*s +Lp5*s  +Lp6*s  +Lp7*s
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//      (the values of Lp1 to Lp7 are listed in the program)
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//      and
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//          |      2          14          |     -58.45
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//          | Lp1*s +...+Lp7*s    -  R(z) | <= 2
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//          |                             |
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//      Note that 2s = f - s*f = f - hfsq + s*hfsq, where hfsq = f*f/2.
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//      In order to guarantee error in log below 1ulp, we compute log
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//      by
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//              log1p(f) = f - (hfsq - s*(hfsq+R)).
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//
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//   3. Finally, log1p(x) = k*ln2 + log1p(f).
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//                        = k*ln2_hi+(f-(hfsq-(s*(hfsq+R)+k*ln2_lo)))
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//      Here ln2 is split into two floating point number:
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//                   ln2_hi + ln2_lo,
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//      where n*ln2_hi is always exact for |n| < 2000.
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//
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// Special cases:
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//      log1p(x) is NaN with signal if x < -1 (including -INF) ;
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//      log1p(+INF) is +INF; log1p(-1) is -INF with signal;
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//      log1p(NaN) is that NaN with no signal.
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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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// 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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//
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// Note: Assuming log() return accurate answer, the following
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//       algorithm can be used to compute log1p(x) to within a few ULP:
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//
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//              u = 1+x;
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//              if(u==1.0) return x ; else
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//                         return log(u)*(x/(u-1.0));
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//
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//       See HP-15C Advanced Functions Handbook, p.193.
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// Log1p returns the natural logarithm of 1 plus its argument x.
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// It is more accurate than Log(1 + x) when x is near zero.
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//
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// Special cases are:
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//      Log1p(+Inf) = +Inf
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//      Log1p(±0) = ±0
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//      Log1p(-1) = -Inf
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//      Log1p(x < -1) = NaN
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//      Log1p(NaN) = NaN
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//extern log1p
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func libc_log1p(float64) float64
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func Log1p(x float64) float64 {
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        return libc_log1p(x)
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}
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func log1p(x float64) float64 {
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        const (
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                Sqrt2M1     = 4.142135623730950488017e-01  // Sqrt(2)-1 = 0x3fda827999fcef34
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                Sqrt2HalfM1 = -2.928932188134524755992e-01 // Sqrt(2)/2-1 = 0xbfd2bec333018866
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                Small       = 1.0 / (1 << 29)              // 2**-29 = 0x3e20000000000000
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                Tiny        = 1.0 / (1 << 54)              // 2**-54
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                Two53       = 1 << 53                      // 2**53
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                Ln2Hi       = 6.93147180369123816490e-01   // 3fe62e42fee00000
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                Ln2Lo       = 1.90821492927058770002e-10   // 3dea39ef35793c76
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                Lp1         = 6.666666666666735130e-01     // 3FE5555555555593
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                Lp2         = 3.999999999940941908e-01     // 3FD999999997FA04
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                Lp3         = 2.857142874366239149e-01     // 3FD2492494229359
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                Lp4         = 2.222219843214978396e-01     // 3FCC71C51D8E78AF
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                Lp5         = 1.818357216161805012e-01     // 3FC7466496CB03DE
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                Lp6         = 1.531383769920937332e-01     // 3FC39A09D078C69F
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                Lp7         = 1.479819860511658591e-01     // 3FC2F112DF3E5244
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        )
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        // special cases
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        switch {
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        case x < -1 || IsNaN(x): // includes -Inf
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                return NaN()
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        case x == -1:
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                return Inf(-1)
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        case IsInf(x, 1):
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                return Inf(1)
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        }
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        absx := x
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        if absx < 0 {
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                absx = -absx
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        }
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        var f float64
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        var iu uint64
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        k := 1
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        if absx < Sqrt2M1 { //  |x| < Sqrt(2)-1
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                if absx < Small { // |x| < 2**-29
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                        if absx < Tiny { // |x| < 2**-54
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                                return x
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                        }
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                        return x - x*x*0.5
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                }
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                if x > Sqrt2HalfM1 { // Sqrt(2)/2-1 < x
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                        // (Sqrt(2)/2-1) < x < (Sqrt(2)-1)
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                        k = 0
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                        f = x
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                        iu = 1
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                }
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        }
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        var c float64
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        if k != 0 {
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                var u float64
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                if absx < Two53 { // 1<<53
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                        u = 1.0 + x
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                        iu = Float64bits(u)
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                        k = int((iu >> 52) - 1023)
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                        if k > 0 {
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                                c = 1.0 - (u - x)
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                        } else {
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                                c = x - (u - 1.0) // correction term
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                                c /= u
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                        }
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                } else {
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                        u = x
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                        iu = Float64bits(u)
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                        k = int((iu >> 52) - 1023)
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                        c = 0
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                }
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                iu &= 0x000fffffffffffff
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                if iu < 0x0006a09e667f3bcd { // mantissa of Sqrt(2)
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                        u = Float64frombits(iu | 0x3ff0000000000000) // normalize u
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                } else {
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                        k += 1
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                        u = Float64frombits(iu | 0x3fe0000000000000) // normalize u/2
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                        iu = (0x0010000000000000 - iu) >> 2
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                }
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                f = u - 1.0 // Sqrt(2)/2 < u < Sqrt(2)
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        }
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        hfsq := 0.5 * f * f
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        var s, R, z float64
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        if iu == 0 { // |f| < 2**-20
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                if f == 0 {
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                        if k == 0 {
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                                return 0
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                        } else {
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                                c += float64(k) * Ln2Lo
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                                return float64(k)*Ln2Hi + c
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                        }
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                }
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                R = hfsq * (1.0 - 0.66666666666666666*f) // avoid division
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                if k == 0 {
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                        return f - R
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                }
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                return float64(k)*Ln2Hi - ((R - (float64(k)*Ln2Lo + c)) - f)
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        }
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        s = f / (2.0 + f)
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        z = s * s
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        R = z * (Lp1 + z*(Lp2+z*(Lp3+z*(Lp4+z*(Lp5+z*(Lp6+z*Lp7))))))
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        if k == 0 {
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                return f - (hfsq - s*(hfsq+R))
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        }
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        return float64(k)*Ln2Hi - ((hfsq - (s*(hfsq+R) + (float64(k)*Ln2Lo + c))) - f)
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}

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