Additional information

• Images
• Videos
• Documents
• Books
• Articles

Project history

The GSL project was initiated in 1996 by physicists Mark Galassi and James Theiler of Los Alamos National Laboratory.² They aimed at writing a modern replacement for widely used but somewhat outdated Fortran libraries such as Netlib.³ They carried out the overall design and wrote early modules; with that ready they recruited other scientists to contribute.

The "overall development of the library and the design and implementation of the major modules" was carried out by Brian Gough and Gerard Jungman.⁴ Other major contributors were Jim Davies, Reid Priedhorsky, M. Booth, and F. Rossi.⁵

Version 1.0 was released in 2001. In the following years, the library expanded only slowly; as the documentation stated, the maintainers were more interested in stability than in additional functionality. Major version 1 ended with release 1.16 of July 2013; this was the only public activity in the three years 2012–2014.

Vigorous development resumed with publication of version 2.0 in October 2015, which included user contributed patches. The latest version 2.8 was released in May 2024.

Example

The following example program calculates the value of the Bessel function of the first kind and order zero for 5:⁶

#include <stdio.h> #include <gsl/gsl_sf_bessel.h> int main(void) { double x = 5.0; double y = gsl_sf_bessel_J0(x); printf("J0(%g) = %.18e\n", x, y); return 0; }

The example program has to be linked to the GSL library upon compilation:

$ gcc $(gsl-config --cflags) example.c $(gsl-config --libs)

The output is shown below and should be correct to double-precision accuracy:

J0(5) = -1.775967713143382920e-01

Features

The software library provides facilities for:

• Basic mathematical functions
• Complex numbers
• Polynomials
• B-splines
• Special functions
• Vectors and matrices
• Permutations
• Combinations
• Multisets
• Sorting
• BLAS
• Linear algebra
• Eigensystems
• Fast Fourier transforms
• Numerical integration (based on QUADPACK)
• Random number generation
• Quasi-random sequences
• Random number distributions
• Statistics
• Histograms
• N-tuples
• Monte Carlo integration
• Simulated annealing
• Ordinary differential equations
• Interpolation
• Numerical differentiation
• Chebyshev approximations
• Series acceleration
• Discrete Hankel transform
• Root finding in one and multiple dimensions
• Minimization in one and multiple dimensions
• Least-squares fitting
• Nonlinear least-squares fitting
• Physical constants
• IEEE floating-point arithmetic
• Discrete wavelet transform

Programming-language bindings

Since the GSL is written in C, it is straightforward to provide wrappers for other programming languages. Such wrappers currently exist for

• AMPL⁷
• C++⁸⁹¹⁰¹¹
• Fortran¹²
• Haskell¹³¹⁴
• Java¹⁵
• Julia¹⁶
• Common Lisp¹⁷
• OCaml¹⁸
• Octave
• Perl Data Language
• Python¹⁹
• R²⁰²¹
• Ruby²²
• Rust²³

C++ support

The GSL can be used in C++ classes, but not using pointers to member functions, because the type of pointer to member function is different from pointer to function.²⁴ Instead, pointers to static functions have to be used. Another common workaround is using a functor.

C++ wrappers for GSL are available.^25262728 Not all of these are regularly maintained. They do offer access to matrix and vector classes without having to use GSL's interface to malloc and free functions. Some also offer support for also creating workspaces that behave like Smart pointer classes. Finally, there is (limited, as of April 2020) support for allowing the user to create classes to represent a parameterised function as a functor.

While not strictly wrappers, there are some C++ classes ²⁹³⁰ that allow C++ users to use the Gnu Scientific Library with wrapper features.

See also

• Free and open-source software portal

Wikimedia Commons has media related to GNU Scientific Library.

• List of numerical-analysis software
• List of numerical libraries
• Netlib
• Numerical Recipes

Notes

External links

• Official website
• GSL Design Document
• The gsl package for R (programming language), an R wrapper for the special functions and quasi random number generators.
• FLOSS FOR SCIENCE interview with Mark Galassi on the history of GSL.

References

1. "GNU - Free Software Directory". http://directory.fsf.org/GNU/ ↩

2. GSL homepage. https://www.gnu.org/software/gsl/ ↩

3. GSL design document. https://www.gnu.org/software/gsl/design/gsl-design.html#SEC1 ↩

4. GSL homepage. https://www.gnu.org/software/gsl/ ↩

5. GSL homepage. https://www.gnu.org/software/gsl/ ↩

6. Using the Library. An Example Program. GSL documentation. https://www.gnu.org/software/gsl/doc/html/usage.html#an-example-program ↩

7. AMPL bindings for the GNU Scientific Library Archived 2021-10-28 at the Wayback Machine. https://ampl.github.io/amplgsl/ ↩

8. ccgsl: a C++ interface for the GNU Scientific Library; http://ccgsl.sourceforge.net/ ↩

9. GSL-- C++ wrappers for GSL Archived 2015-01-29 at the Wayback Machine; http://cholm.home.cern.ch/cholm/misc/#gslmm ↩

10. GSLwrap: A C++ wrapper class for the GNU Scientific Library; http://gslwrap.sourceforge.net/ ↩

11. gslcpp: A Header-Only, Modern C++-Library Wrapping the GNU Scientific Library. https://github.com/tevaughan/gslcpp/ ↩

12. FGSL - A Fortran interface to the GNU Scientific Library. https://doku.lrz.de/display/PUBLIC/FGSL+-+A+Fortran+interface+to+the+GNU+Scientific+Library ↩

13. The hmatrix-special package, an interface to GSL special functions. https://hackage.haskell.org/package/hmatrix-special ↩

14. The hmatrix-gsl package, a purely functional interface to selected numerical computations, internally implemented using GSL. https://hackage.haskell.org/package/hmatrix-gsl ↩

15. JavaCPP Presets for GSL. https://github.com/bytedeco/javacpp-presets/tree/master/gsl ↩

16. Julia interface to GSL. https://github.com/JuliaMath/GSL.jl ↩

17. GSLL, GNU Scientific Library for Lisp. http://common-lisp.net/project/gsll/ ↩

18. gsl-ocaml: OCaml bindings to the GSL. https://mmottl.github.io/gsl-ocaml/ ↩

19. Python interface for GNU Scientific Library. http://pygsl.sourceforge.net/#pygsl ↩

20. RcppGSL: 'Rcpp' Integration for 'GNU GSL' Vectors and Matrices. https://cran.r-project.org/web/packages/RcppGSL/index.html ↩

21. gsl: wrapper for the Gnu Scientific Library. https://cran.r-project.org/web/packages/gsl/index.html ↩

22. rb-gsl: Ruby/GSL is a Ruby interface to the GNU Scientific Library, for numerical computing with Ruby. https://rubygems.org/gems/rb-gsl ↩

23. rust-gsl: A Rust binding for the GSL library (the GNU Scientific Library). https://docs.rs/GSL/6.0.0/rgsl/ ↩

24. Pointers to member functions. Archived 2004-10-13 at the Wayback Machine. http://www.parashift.com/c++-faq-lite/pointers-to-members.html#faq-33.1 ↩

25. ccgsl: a C++ interface for the GNU Scientific Library; http://ccgsl.sourceforge.net/ ↩

26. GSL-- C++ wrappers for GSL Archived 2015-01-29 at the Wayback Machine; http://cholm.home.cern.ch/cholm/misc/#gslmm ↩

27. GSLwrap: A C++ wrapper class for the GNU Scientific Library; http://gslwrap.sourceforge.net/ ↩

28. gslcpp: A Header-Only, Modern C++-Library Wrapping the GNU Scientific Library. https://github.com/tevaughan/gslcpp/ ↩

29. o2scl Object-oriented Scientific Computing Library; https://neutronstars.utk.edu/code/o2scl/html/index.html ↩

30. yat. https://web.archive.org/web/20101103060841/http://dev.thep.lu.se/yat/ ↩