How to Install and Uninstall libarpack++2-dev Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 03,2024

1. Install "libarpack++2-dev" package

This tutorial shows how to install libarpack++2-dev on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libarpack++2-dev
            
                    
    
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2. Uninstall "libarpack++2-dev" package

This tutorial shows how to uninstall libarpack++2-dev on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libarpack++2-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libarpack++2-dev package on Ubuntu 20.10 (Groovy Gorilla)

Package: libarpack2-dev
Architecture: amd64
Version: 3.7.0-3
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: arpack
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 731
Depends: libarpack2 (= 3.7.0-3), libblas-dev | libblas.so, liblapack-dev | liblapack.so
Filename: pool/universe/a/arpack/libarpack2-dev_3.7.0-3_amd64.deb
Size: 105040
MD5sum: a3cd600a7cc0e88b717b0f8ac8a56cbc
SHA1: f53025e50184e178c98f76552810171d1363d562
SHA256: 6d48415952a6d514f70903d180ddc39b01934440d4e091f6eef49e11065818d9
SHA512: a1be63150a40f3df37a4e404c35fb7bcbdaf522576bffd41ca9f9b9d5e283bc3158ca682688a87028cad0f7be5c125ae2b50b4d8350433ef757b7d0b37a6d204
Homepage: https://github.com/opencollab/arpack-ng
Description-en: Fortran77 subroutines to solve large scale eigenvalue problems (development)
ARPACK software is capable of solving large scale symmetric,
nonsymmetric, and generalized eigenproblems from significant
application areas. The software is designed to compute a few (k)
eigenvalues with user specified features such as those of largest
real part or largest magnitude. Storage requirements are on the order
of n*k locations. No auxiliary storage is required. A set of Schur
basis vectors for the desired k-dimensional eigen-space is computed
which is numerically orthogonal to working precision. Numerically
accurate eigenvectors are available on request.
.
This package contains the static libraries and the documentation for
development with libarpack (including examples).
Description-md5: ce479c0c27c3104bee7093d103d5e8cb