Development/GSL: Difference between revisions
S Richling (talk | contribs) No edit summary |
F Bartusch (talk | contribs) No edit summary |
||
| Line 63: | Line 63: | ||
* [https://en.wikipedia.org/wiki/GNU_Scientific_Library Wikipedia article (english)] |
* [https://en.wikipedia.org/wiki/GNU_Scientific_Library Wikipedia article (english)] |
||
---- |
---- |
||
[[Category: Numerical libraries]][[Category:BwUniCluster]][[Category:BwUniCluster_2.0]][[Category:BwForCluster_Chemistry]][[Category:BwForCluster_JUSTUS_2 |
[[Category: Numerical libraries]][[Category:BwUniCluster]][[Category:BwUniCluster_2.0]][[Category:BwForCluster_Chemistry]][[Category:BwForCluster_JUSTUS_2]] |
||
Revision as of 11:54, 6 December 2022
|
The main documentation is available via |
| Description | Content |
|---|---|
| module load | numlib/gsl |
| License | GNU General Public License (GPL) |
| Citing | M. Galassi et al., GNU Scientific Library Reference Manual (3rd Ed.), ISBN 0954612078. |
| Links | Homepage | Documentation |
| Graphical Interface | No |
Description
The GNU Scientific Library (GSL) is a software library for numerical computations in applied mathematics and science. GSL is written in C, but bindings exist for other programming languages as well. The library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting. There are over 1000 functions in total with an extensive test suite.
The complete range of subject areas covered by the library:
• Complex Numbers • Roots of Polynomials • Special Functions • Vectors and Matrices • Permutations • Sorting • BLAS Support • Linear Algebra • Eigensystems • Fast Fourier Transforms • Quadrature • Random Numbers • Quasi-Random Sequences • Random Distributions • Statistics • Histograms • N-Tuples • Monte Carlo Integration • Simulated Annealing • Differential Equations • Interpolation • Numerical Differentiation • Chebyshev Approximation • Series Acceleration • Discrete Hankel Transforms • Root-Finding • Minimization • Least-Squares Fitting • Physical Constants • IEEE Floating-Point • Discrete Wavelet Transforms • Basis splines • Running Statistics • Sparse Matrices and Linear Algebra
How to use GSL
A man page is available and can be accessed by typing
$ man gsl
Includes
Your source code should contain preprocessor include statements with a gsl/prefix such as
#include <gsl/gsl_math.h>
Compile
A typical compilation command for a source file 'example.c' using the Intel C compiler icc is
$ icc -Wall -I$GSL_INC_DIR -c example.c
The $GSL_INC_DIR environment variable points to the location of the include path for the GSL header files.
Link
The following command can be used to link the application with the GSL libraries:
$ icc -L$GSL_LIB_DIR -o example example.o -lgsl -lgslcblas -lm
The $GSL_LIB_DIR environment variable points to the location of the GSL libraries. Also make sure to have the GSL module loaded before running applications build with this library.