How to Install and Uninstall libmath-matrixreal-perl Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 02,2024

1. Install "libmath-matrixreal-perl" package

This is a short guide on how to install libmath-matrixreal-perl on Ubuntu 21.04 (Hirsute Hippo)

$ sudo apt update $ sudo apt install libmath-matrixreal-perl

2. Uninstall "libmath-matrixreal-perl" package

Learn how to uninstall libmath-matrixreal-perl on Ubuntu 21.04 (Hirsute Hippo):

$ sudo apt remove libmath-matrixreal-perl $ sudo apt autoclean && sudo apt autoremove

3. Information about the libmath-matrixreal-perl package on Ubuntu 21.04 (Hirsute Hippo)

Package: libmath-matrixreal-perl
Architecture: all
Version: 2.13-2
Priority: optional
Section: universe/perl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Perl Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 213
Depends: perl:any
Filename: pool/universe/libm/libmath-matrixreal-perl/libmath-matrixreal-perl_2.13-2_all.deb
Size: 64864
MD5sum: da23b63c5c034352929fe87f0a897ae8
SHA1: d0c7f90be3fe919a11d30febc2209480435d22f2
SHA256: ffb9f5a3ccf50469abc925048b37a490033f5f72f7e04b55728e673039859c53
SHA512: a8c0e64da46ccec1f7d08893f81def9ee2d343a94a5ef8cf15b771435a1ce937633aabd17605b3d21190092570a5d4f1294a9795277109ade564c897e39abab0
Homepage: https://metacpan.org/release/Math-MatrixReal
Description-en: module to manipulate NxN matrices of real numbers
Math::MatrixReal implements the data type "matrix of reals" (and consequently
also "vector of reals") which can be used almost like any other basic Perl
type thanks to operator overloading.
.
It features many important operations and methods: matrix norm, matrix
transposition, matrix inverse, determinant of a matrix, order and numerical
condition of a matrix, scalar product of vectors, vector product of vectors,
vector length, projection of row and column vectors, a comfortable way for
reading in a matrix from a file, the keyboard or your code, and many more.
.
It allows one to solve linear equation systems using an efficient algorithm
known as "L-R-decomposition" and several approximative (iterative) methods.
.
It features an implementation of Kleene's algorithm to compute the minimal
costs for all paths in a graph with weighted edges (the "weights" being the
costs associated with each edge).
.
Finally, it allows one to solve the eigensystem of a real symmetric matrix,
using Householder transformation and QL decomposition.
Description-md5: 6c80b736915661a8f567d701ed0ea5bc