How to Install and Uninstall libgsl27 Package on openSuSE Tumbleweed

Last updated: June 08,2024

1. Install "libgsl27" package

This guide covers the steps necessary to install libgsl27 on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                libgsl27
            
                    
    
    Copied

2. Uninstall "libgsl27" package

This guide covers the steps necessary to uninstall libgsl27 on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                libgsl27
            
                    
    
    Copied

3. Information about the libgsl27 package on openSuSE Tumbleweed

Information for package libgsl27:
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Repository : openSUSE-Tumbleweed-Oss
Name : libgsl27
Version : 2.7.1-3.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 2.8 MiB
Installed : No
Status : not installed
Source package : gsl-2.7.1-3.1.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