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author | Mark Dickinson <dickinsm@gmail.com> | 2010-07-07 16:17:31 (GMT) |
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committer | Mark Dickinson <dickinsm@gmail.com> | 2010-07-07 16:17:31 (GMT) |
commit | 9c91eb844c63a2d86bb845cd41d2662af0866a8b (patch) | |
tree | 95d97130f644036016889bf988f5b6894ded673d /Modules/mathmodule.c | |
parent | 7e4a6ebd42db12f57709279762ffc2a3ef860583 (diff) | |
download | cpython-9c91eb844c63a2d86bb845cd41d2662af0866a8b.zip cpython-9c91eb844c63a2d86bb845cd41d2662af0866a8b.tar.gz cpython-9c91eb844c63a2d86bb845cd41d2662af0866a8b.tar.bz2 |
Minor refactoring in lgamma code, for clarity.
Diffstat (limited to 'Modules/mathmodule.c')
-rw-r--r-- | Modules/mathmodule.c | 24 |
1 files changed, 10 insertions, 14 deletions
diff --git a/Modules/mathmodule.c b/Modules/mathmodule.c index 4ef10d3..7911251 100644 --- a/Modules/mathmodule.c +++ b/Modules/mathmodule.c @@ -69,6 +69,7 @@ extern double copysign(double, double); static const double pi = 3.141592653589793238462643383279502884197; static const double sqrtpi = 1.772453850905516027298167483341145182798; +static const double logpi = 1.144729885849400174143427351353058711647; static double sinpi(double x) @@ -356,20 +357,15 @@ m_lgamma(double x) if (absx < 1e-20) return -log(absx); - /* Lanczos' formula */ - if (x > 0.0) { - /* we could save a fraction of a ulp in accuracy by having a - second set of numerator coefficients for lanczos_sum that - absorbed the exp(-lanczos_g) term, and throwing out the - lanczos_g subtraction below; it's probably not worth it. */ - r = log(lanczos_sum(x)) - lanczos_g + - (x-0.5)*(log(x+lanczos_g-0.5)-1); - } - else { - r = log(pi) - log(fabs(sinpi(absx))) - log(absx) - - (log(lanczos_sum(absx)) - lanczos_g + - (absx-0.5)*(log(absx+lanczos_g-0.5)-1)); - } + /* Lanczos' formula. We could save a fraction of a ulp in accuracy by + having a second set of numerator coefficients for lanczos_sum that + absorbed the exp(-lanczos_g) term, and throwing out the lanczos_g + subtraction below; it's probably not worth it. */ + r = log(lanczos_sum(absx)) - lanczos_g; + r += (absx - 0.5) * (log(absx + lanczos_g - 0.5) - 1); + if (x < 0.0) + /* Use reflection formula to get value for negative x. */ + r = logpi - log(fabs(sinpi(absx))) - log(absx) - r; if (Py_IS_INFINITY(r)) errno = ERANGE; return r; |