How to Install and Uninstall libgsl23 Package on openSUSE Leap

Last updated: July 01,2024

1. Install "libgsl23" package

Please follow the steps below to install libgsl23 on openSUSE Leap


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                libgsl23
            
                    
    
    Copied

2. Uninstall "libgsl23" package

This is a short guide on how to uninstall libgsl23 on openSUSE Leap:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                libgsl23
            
                    
    
    Copied

3. Information about the libgsl23 package on openSUSE Leap

Information for package libgsl23:
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Repository : Main Repository
Name : libgsl23
Version : 2.4-7.11
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 2.5 MiB
Installed : No
Status : not installed
Source package : gsl-2.4-7.11.src
Upstream URL : https://www.gnu.org/software/gsl/
Summary : GNU Scientific Library
Description :
The GNU Scientific Library (GSL) is a collection of routines for
numerical computing. The routines are written from scratch by the GSL
team in ANSI C and present an Applications Programming Interface
(API) for C programmers, while allowing wrappers to be written for very
high level languages.
The library covers the following areas:
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