Provided by: libmath-gsl-perl_0.49-1_amd64 bug

NAME

       Math::GSL - Perl interface to the GNU Scientific Library (GSL)

VERSION

       Version 0.49

SYNOPSIS

           use Math::GSL::Matrix;
           my $matrix = Math::GSL::Matrix->new(5,5);   # 5x5 zero matrix
           # note that columns and rows are zero-based
           $matrix->set_col(0, [1..5])                 # set *first* column to 1,2,3,4,5
                  ->set_row(2, [5..9]);                # set *third* column to 5,6,7,8,9
           my @matrix = $matrix->as_list;              # matrix as Perl list
           my $gsl_matrix = $matrix->raw;              # underlying GSL object

           use Math::GSL::RNG;
           my $rng = Math::GSL::RNG->new;
           my @random_numbers = $rng->get(1000);

           use Math::GSL::Deriv qw/:all/;
           my $function = sub { my $x=shift; sin($x**2) };
           my ($status,$val,$err) = gsl_deriv_central($function, 5, 0.01 );

           use Math::GSL qw/gsl_version/;
           # get a version object for the version of the underlying GSL library,
           # which will stringify to a version number
           my $gsl_version = gsl_version();

       Each GSL subsystem has its own module. For example, the random number generator subsystem is
       Math::GSL::RNG. Many subsystems have a more Perlish and object-oriented frontend which can be used, as
       the above example shows. The raw GSL object is useful for using the low-level GSL functions, which in the
       case of the Matrix subsystem, would be of the form gsl_matrix_* . Each module has further documentation
       about the low-level C functions as well as using the more intuitive (but slightly slower) object-oriented
       interface.

SUBSYSTEMS

       Math::GSL::BLAS            - Linear Algebra Functions

       Math::GSL::BSpline         - BSplines

       Math::GSL::CBLAS           - Linear Algebra Functions

       Math::GSL::CDF             - Cumulative Distribution Functions

       Math::GSL::Chebyshev       - Chebyshev Polynomials

       Math::GSL::Combination     - Combinatoric Functions

       Math::GSL::Complex         - Complex Numbers

       Math::GSL::Const           - Various Constants

       Math::GSL::DHT             - Discrete Hankel Transforms

       Math::GSL::Deriv           - Numerical Derivative

       Math::GSL::Eigen           - Eigenvalues and Eigenvectors

       Math::GSL::Errno           - Error Handling

       Math::GSL::FFT             - Fast Fourier Transform

       Math::GSL::Fit             - Curve Fitting

       Math::GSL::Heapsort        - Sorting Heaps

       Math::GSL::Histogram       - Histograms

       Math::GSL::Histogram2D     - 2D Histograms

       Math::GSL::Integration     - Numerical Integration

       Math::GSL::Interp          - Interpolation

       Math::GSL::Linalg          - Linear Algebra

       Math::GSL::Machine         - Machine Specific Information

       Math::GSL::Matrix          - NxM Matrices

       Math::GSL::Min             - Minimization

       Math::GSL::Monte           - Monte Carlo Integrations

       Math::GSL::Multifit        - Multivariable Fitting

       Math::GSL::Multimin        - Multivariable Minimization

       Math::GSL::Multiroots      - Muiltvariable Root Finding

       Math::GSL::NTuple          - N Tuples

       Math::GSL::ODEIV           - Ordinary Differential Equation Solvers (Initial Value Problems)

       Math::GSL::Permutation     - Permutations

       Math::GSL::Poly            - Polynmials

       Math::GSL::PowInt          - Integer Power Functions

       Math::GSL::QRNG            - Quasi-Random Number Generators

       Math::GSL::RNG             - Random Number Generators

       Math::GSL::Randist         - Random Number Distributions

       Math::GSL::Roots           - Root Finding Algorithms

       Math::GSL::Rstat           - Running Statistics

       Math::GSL::SF              - Special Functions

       Math::GSL::Siman           - Simulated Annealing

       Math::GSL::Sort            - Sorting

       Math::GSL::SparseMatrix    - Sparse Matrices

       Math::GSL::Spline          - Splines

       Math::GSL::Statistics      - Statistics Functions

       Math::GSL::Sum             - Summation

       Math::GSL::Sys             - System utility functions

       Math::GSL::Vector          - N-dimensional Vectors

       Math::GSL::Wavelet         - Basic Wavelets

       Math::GSL::Wavelet2D       - 2D Wavelets

AUTHORS

       Jonathan "Duke" Leto, "<jonathan@leto.net>" and Thierry Moisan "<thierry.moisan@gmail.com>"

BUGS

       This software is still in active development, we appreciate your detailed bug reports and documentation
       patches. Please report any bugs or feature requests to
       <https://github.com/hakonhagland/perl-math-gsl/issues>.

DEVELOPMENT

       If you would like the help develop Math::GSL, visit us on Github
       <https://github.com/hakonhagland/perl-math-gsl/issues> and fork, send Pull Requests and/or create issues.

       To view the latest source code online, go to <https://github.com/hakonhagland/perl-math-gsl>.

DEDICATION

       This Perl module is dedicated in memory of Nick Ing-Simmons.

COPYRIGHT & LICENSE

       Copyright (C) 2008-2024 Jonathan "Duke" Leto, Thierry Moisan all rights reserved.

       This program is free software; you can redistribute it and/or modify it under the same terms as Perl
       itself.

perl v5.40.1                                       2025-10-04                                     Math::GSL(3pm)