| // Copyright 2010 The Go Authors. All rights reserved. | |
| // Use of this source code is governed by a BSD-style | |
| // license that can be found in the LICENSE file. | |
| package math | |
| // The original C code, the long comment, and the constants | |
| // below are from http://netlib.sandia.gov/cephes/cprob/gamma.c. | |
| // The go code is a simplified version of the original C. | |
| // | |
| // tgamma.c | |
| // | |
| // Gamma function | |
| // | |
| // SYNOPSIS: | |
| // | |
| // double x, y, tgamma(); | |
| // extern int signgam; | |
| // | |
| // y = tgamma( x ); | |
| // | |
| // DESCRIPTION: | |
| // | |
| // Returns gamma function of the argument. The result is | |
| // correctly signed, and the sign (+1 or -1) is also | |
| // returned in a global (extern) variable named signgam. | |
| // This variable is also filled in by the logarithmic gamma | |
| // function lgamma(). | |
| // | |
| // Arguments |x| <= 34 are reduced by recurrence and the function | |
| // approximated by a rational function of degree 6/7 in the | |
| // interval (2,3). Large arguments are handled by Stirling's | |
| // formula. Large negative arguments are made positive using | |
| // a reflection formula. | |
| // | |
| // ACCURACY: | |
| // | |
| // Relative error: | |
| // arithmetic domain # trials peak rms | |
| // DEC -34, 34 10000 1.3e-16 2.5e-17 | |
| // IEEE -170,-33 20000 2.3e-15 3.3e-16 | |
| // IEEE -33, 33 20000 9.4e-16 2.2e-16 | |
| // IEEE 33, 171.6 20000 2.3e-15 3.2e-16 | |
| // | |
| // Error for arguments outside the test range will be larger | |
| // owing to error amplification by the exponential function. | |
| // | |
| // Cephes Math Library Release 2.8: June, 2000 | |
| // Copyright 1984, 1987, 1989, 1992, 2000 by Stephen L. Moshier | |
| // | |
| // The readme file at http://netlib.sandia.gov/cephes/ says: | |
| // Some software in this archive may be from the book _Methods and | |
| // Programs for Mathematical Functions_ (Prentice-Hall or Simon & Schuster | |
| // International, 1989) or from the Cephes Mathematical Library, a | |
| // commercial product. In either event, it is copyrighted by the author. | |
| // What you see here may be used freely but it comes with no support or | |
| // guarantee. | |
| // | |
| // The two known misprints in the book are repaired here in the | |
| // source listings for the gamma function and the incomplete beta | |
| // integral. | |
| // | |
| // Stephen L. Moshier | |
| // moshier@na-net.ornl.gov | |
| var _P = []float64{ | |
| 1.60119522476751861407e-04, | |
| 1.19135147006586384913e-03, | |
| 1.04213797561761569935e-02, | |
| 4.76367800457137231464e-02, | |
| 2.07448227648435975150e-01, | |
| 4.94214826801497100753e-01, | |
| 9.99999999999999996796e-01, | |
| } | |
| var _Q = []float64{ | |
| -2.31581873324120129819e-05, | |
| 5.39605580493303397842e-04, | |
| -4.45641913851797240494e-03, | |
| 1.18139785222060435552e-02, | |
| 3.58236398605498653373e-02, | |
| -2.34591795718243348568e-01, | |
| 7.14304917030273074085e-02, | |
| 1.00000000000000000320e+00, | |
| } | |
| var _S = []float64{ | |
| 7.87311395793093628397e-04, | |
| -2.29549961613378126380e-04, | |
| -2.68132617805781232825e-03, | |
| 3.47222221605458667310e-03, | |
| 8.33333333333482257126e-02, | |
| } | |
| // Gamma function computed by Stirling's formula. | |
| // The polynomial is valid for 33 <= x <= 172. | |
| func stirling(x float64) float64 { | |
| const ( | |
| SqrtTwoPi = 2.506628274631000502417 | |
| MaxStirling = 143.01608 | |
| ) | |
| w := 1 / x | |
| w = 1 + w*((((_S[0]*w+_S[1])*w+_S[2])*w+_S[3])*w+_S[4]) | |
| y := Exp(x) | |
| if x > MaxStirling { // avoid Pow() overflow | |
| v := Pow(x, 0.5*x-0.25) | |
| y = v * (v / y) | |
| } else { | |
| y = Pow(x, x-0.5) / y | |
| } | |
| y = SqrtTwoPi * y * w | |
| return y | |
| } | |
| // Gamma(x) returns the Gamma function of x. | |
| // | |
| // Special cases are: | |
| // Gamma(Inf) = Inf | |
| // Gamma(-Inf) = -Inf | |
| // Gamma(NaN) = NaN | |
| // Large values overflow to +Inf. | |
| // Negative integer values equal ±Inf. | |
| func Gamma(x float64) float64 { | |
| const Euler = 0.57721566490153286060651209008240243104215933593992 // A001620 | |
| // special cases | |
| switch { | |
| case x < -MaxFloat64 || x != x: // IsInf(x, -1) || IsNaN(x): | |
| return x | |
| case x < -170.5674972726612 || x > 171.61447887182298: | |
| return Inf(1) | |
| } | |
| q := Fabs(x) | |
| p := Floor(q) | |
| if q > 33 { | |
| if x >= 0 { | |
| return stirling(x) | |
| } | |
| signgam := 1 | |
| if ip := int(p); ip&1 == 0 { | |
| signgam = -1 | |
| } | |
| z := q - p | |
| if z > 0.5 { | |
| p = p + 1 | |
| z = q - p | |
| } | |
| z = q * Sin(Pi*z) | |
| if z == 0 { | |
| return Inf(signgam) | |
| } | |
| z = Pi / (Fabs(z) * stirling(q)) | |
| return float64(signgam) * z | |
| } | |
| // Reduce argument | |
| z := float64(1) | |
| for x >= 3 { | |
| x = x - 1 | |
| z = z * x | |
| } | |
| for x < 0 { | |
| if x > -1e-09 { | |
| goto small | |
| } | |
| z = z / x | |
| x = x + 1 | |
| } | |
| for x < 2 { | |
| if x < 1e-09 { | |
| goto small | |
| } | |
| z = z / x | |
| x = x + 1 | |
| } | |
| if x == 2 { | |
| return z | |
| } | |
| x = x - 2 | |
| p = (((((x*_P[0]+_P[1])*x+_P[2])*x+_P[3])*x+_P[4])*x+_P[5])*x + _P[6] | |
| q = ((((((x*_Q[0]+_Q[1])*x+_Q[2])*x+_Q[3])*x+_Q[4])*x+_Q[5])*x+_Q[6])*x + _Q[7] | |
| return z * p / q | |
| small: | |
| if x == 0 { | |
| return Inf(1) | |
| } | |
| return z / ((1 + Euler*x) * x) | |
| } |