How to Install and Uninstall libarpack++2-dev Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 20,2024

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

In this section, we are going to explain the necessary steps to install libarpack++2-dev on Ubuntu 21.04 (Hirsute Hippo)


    
        
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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

Please follow the guidelines below to uninstall libarpack++2-dev on Ubuntu 21.04 (Hirsute Hippo):


    
        
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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 21.04 (Hirsute Hippo)

Package: libarpack2-dev
Architecture: amd64
Version: 3.8.0-1
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: 732
Depends: libarpack2 (= 3.8.0-1), libblas-dev | libblas.so, liblapack-dev | liblapack.so
Filename: pool/universe/a/arpack/libarpack2-dev_3.8.0-1_amd64.deb
Size: 104616
MD5sum: 7077df8af18272fd1164796c547d8b85
SHA1: 8ad4767f418bdf60456680612967b2a43bc298f9
SHA256: e00dd6d72e0b0d70820c88c9ec02157af82786113ea363e452e36d1a92517470
SHA512: 042be5c669b02717014421b3a3ab936af7a8c5473a63f13dd079e1a8b68b3736e3c91e4e25fd4c0ca19088cd5442e964b29c32344c01a87054f5924149769bfd
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