Math::GSL(3pm)

📦
version 0.49 · 6 versions
, in ubuntu stonking

💖 Math::GSL — the Perl glow-up for the GNU Scientific Library 💖

okay bestie, so this is the Math::GSL manual page, and honestly? it's giving "User Contributed Perl Documentation" with main character energy ✨. If you've ever wanted the whole GNU Scientific Library (GSL) to talk Perl to you instead of C, this is your girl. Periodt. 👑

✨ NAME ✨

Math::GSL — a Perl interface to the GNU Scientific Library (GSL) 🧚

🌸 VERSION 🌸

Version 0.49 💅

🦋 SYNOPSIS 🦋

Here's the vibe, literally copy-paste-able:

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();

okay so every GSL subsystem gets its own lil module, no cap. The random number generator subsystem? That's Math::GSL::RNG 🎲. And a ton of these subsystems come with a more Perlish, object-oriented frontend you can actually use, exactly like the example above shows 🫶. The raw GSL object is your backstage pass for the low-level GSL functions — and for the Matrix subsystem specifically, those look like gsl_matrix_*. Every module has its own further documentation covering both the low-level C functions and how to use the more intuitive (but lowkey slightly slower 😭) object-oriented interface. iykyk.

👑 SUBSYSTEMS 👑

the full roster, alphabetically iconic:

  • 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 😭

ngl, this software is still in active development, and we live for 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 wanna help develop Math::GSL, come hang out with us on Github <https://github.com/hakonhagland/perl-math-gsl/issues> and fork, send Pull Requests and/or create issues. literally the more the merrier 🫶

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 (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.

okay that's the whole page bestie, go forth and do science 💅✨ no cap, you're gonna slay.

signing off from the Math::GSL(3pm) manual page, served up by perl v5.42.3, dated 2026-08-20 🌸 — mwah, ilysm, go run some numbers 🫶💖

📦 where this page comes from