How to Install and Uninstall libarpack2 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: April 28,2024

1. Install "libarpack2" package

Please follow the steps below to install libarpack2 on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install libarpack2

2. Uninstall "libarpack2" package

This guide let you learn how to uninstall libarpack2 on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove libarpack2 $ sudo apt autoclean && sudo apt autoremove

3. Information about the libarpack2 package on Ubuntu 20.10 (Groovy Gorilla)

Package: libarpack2
Architecture: amd64
Version: 3.7.0-3
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: arpack
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 305
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), libgfortran5 (>= 8), liblapack3 | liblapack.so.3
Filename: pool/universe/a/arpack/libarpack2_3.7.0-3_amd64.deb
Size: 92756
MD5sum: d873bfc2b638c506d3fb2937de9d7506
SHA1: ebfb08d98e04bfba0a4c7034363af36d22b40f25
SHA256: 15cbb2f4ad45773f9495c1bc08eef141ddb7897873a364ae5ba3f788f663a2cf
SHA512: 0b5607a7450cbe565becf8b661b2ca52cdc687ce8a5bea430b5f11e80481c74c87f6bde12322196bfd455bf531fadfc3bf89f4134a7a9f254b70d63da2e26509
Homepage: https://github.com/opencollab/arpack-ng
Description-en: Fortran77 subroutines to solve large scale eigenvalue problems
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.
.
Important Features:
.
* Reverse Communication Interface.
* Single and Double Precision Real Arithmetic Versions for Symmetric,
Non-symmetric,
* Standard or Generalized Problems.
* Single and Double Precision Complex Arithmetic Versions for Standard or
Generalized Problems.
* Routines for Banded Matrices - Standard or Generalized Problems.
* Routines for The Singular Value Decomposition.
* Example driver routines that may be used as templates to implement
numerous Shift-Invert strategies for all problem types, data types and
precision.
.
This package contains the shared library.
Description-md5: 2930973bf6f522d792538129ee506be1
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