How to Install and Uninstall libarpack2 Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: December 23,2024

1. Install "libarpack2" package

Please follow the instructions below to install libarpack2 on Ubuntu 16.04 LTS (Xenial Xerus)

$ sudo apt update $ sudo apt install libarpack2

2. Uninstall "libarpack2" package

Please follow the instructions below to uninstall libarpack2 on Ubuntu 16.04 LTS (Xenial Xerus):

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

3. Information about the libarpack2 package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libarpack2
Priority: optional
Section: universe/libs
Installed-Size: 320
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Architecture: amd64
Source: arpack
Version: 3.3.0-1build2
Replaces: arpack2
Depends: libblas3 | libblas.so.3, libc6 (>= 2.2.5), libgfortran3 (>= 4.6), liblapack3 | liblapack.so.3
Conflicts: arpack2
Breaks: octave3.2
Filename: pool/universe/a/arpack/libarpack2_3.3.0-1build2_amd64.deb
Size: 88158
MD5sum: 9d350c634baceaf825249fc083facc44
SHA1: ac8c863e13d41b93e5a93e4a03dd75eff810ba42
SHA256: 1cb64a9244b6f6009650f386cb667a25e6bb78a5be352869fec5f5dd311534e8
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
Homepage: https://github.com/opencollab/arpack-ng
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu