Ubuntu
libmath-matrixreal-perl package

libmath-matrixreal-perl 2.13-2 source package in Ubuntu

Changelog

libmath-matrixreal-perl (2.13-2) unstable; urgency=medium

  * Team upload.
  * Source-only no-change re-upload.

 -- gregor herrmann <email address hidden>  Sat, 13 Jun 2020 03:49:55 +0200

Upload details

Uploaded by:
Debian Perl Group
Uploaded to:
Sid
Original maintainer:
Debian Perl Group
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

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Builds

Groovy: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
libmath-matrixreal-perl_2.13-2.dsc 2.4 KiB ecfefa41b9b55b962687fdfec7296ebd189de4251f72069cf358e5f19c88e289
libmath-matrixreal-perl_2.13.orig.tar.gz 147.9 KiB 4f9fa1a46dd34d2225de461d9a4ed86932cdd821c121fa501a15a6d4302fb4b2
libmath-matrixreal-perl_2.13-2.debian.tar.xz 3.2 KiB c53b6c5ece8bcc99769e8fbcc4128f2e739d3d05666a296e8daa4e5e03db27e4

Available diffs

No changes file available.

Binary packages built by this source

libmath-matrixreal-perl: 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.