This module provides and exports some mathematical functions which are built in in Fortran but not in Perl. Currently there are only 2 included. FUNCTIONS log10() Log to the base of 10 sign() With 1 parameter, +1 if $y >= 0, -1 otherwise. With 2 para...
JGAMBLE/Math-Fortran-0.03 - 07 Aug 2015 22:21:54 UTCThis module provides a perl interface to the DCDFLIB. See the section on DCDFLIB for more information. Functions are available for 7 continuous distributions (Beta, Chi-square, F, Gamma, Normal, Poisson and T-distribution) and for two discrete distri...
CALLAHAN/Math-CDF-0.1 - 17 Jan 2000 02:17:00 UTCThis module implements the evolution search strategy. Derivatives of the objective function are not required. Constraints can be incorporated. The caller must supply initial values for the variables and for the initial step sizes. This evolution stra...
PJB/Math-Evol-1.13 - 13 Jun 2017 03:23:25 UTCMath::Lsoda is a numerical module used for solving ordinary differential equations. The module is suitable for both stiff and non-stiff systems using the FORTRAN library odepack....
SYNCLOVER/Math-Lsoda-0.04 - 17 Mar 2010 16:30:18 UTCJGAMBLE/Math-Utils-1.14 - 21 Apr 2020 18:18:27 UTC
Math::Random is a Perl port of the C version of randlib, which is a suite of routines for generating random deviates. See "RANDLIB" for more information. This port supports all of the distributions from which the Fortran and C versions generate devia...
GROMMEL/Math-Random-0.72 - 30 Aug 2015 20:44:00 UTCThis is a bundle of modules related to numeric algorithms. Please have a look at Bundle::Math. If you would like to see a specific module included in a future version of this bundle, please send me an email or use rt.cpan.org....
SMUELLER/Bundle-Math-Numeric-1.00 - 05 Apr 2004 12:10:48 UTCThis package supplies a set of functions that find the roots of polynomials, along with some utility functions. Roots will be either real or of type Math::Complex. Functions making use of the Sturm sequence are also available, letting you find the nu...
JGAMBLE/Math-Polynomial-Solve-2.86 - 02 Nov 2018 01:10:27 UTC*WARNING*: Highly experimental! Wrong usage results in segmentation faults and pain. There are two was to evaluate a Math::Symbolic formula that come with the main distribution: Calling the "value()" method on it or using the Math::Symbolic::Compiler...
SMUELLER/Math-SymbolicX-FastEvaluator-0.01 - 31 Oct 2008 16:31:12 UTC