SciRuby/extendmatrix

Name: extendmatrix

Owner: SciRuby

Description: Cosmin Bonchis's enhancements to the Ruby "Vector" and "Matrix" module and includes: LU and QR (Householder, Givens, Gram Schmidt, Hessenberg) decompositions, bidiagonalization, eigenvalue and eigenvector calculations. Work on Ruby 1.8.7, 1.9.1 and 1.9.2 (SVN version)

Created: 2015-05-07 15:11:18.0

Updated: 2017-02-11 00:17:30.0

Pushed: 2015-05-22 13:11:10.0

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Size: 246

Language: Ruby

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README

extendmatrix

DESCRIPTION:

The project consists of some enhancements to the Ruby “Matrix” module and includes: LU and QR (Householder, Givens, Gram Schmidt, Hessenberg) decompositions, bidiagonalization, eigenvalue and eigenvector calculations. Include some aditional code to obtains marginal for rows and columns.

Original code done by Cosmin Bonchis as a Google Summer of Code 2007 project for Ruby Central Inc.

Gem, github repository and current version mantained by Claudio Bustos and the Ruby Science Foundation.

SYNOPSIS:

require 'extendmatrix' v = Vector[1, 2, 3, 4]

v.magnitude # => 5.47722557505166

v.normalize # => Vector[0.182574185835055, 0.365148371670111, 0.547722557505166, 0.730296743340221]

Backport from Ruby 1.9.2+

m = Matrix.build(4, 3){|i, j| i * 3 + j}

=> Matrix[[0, 1, 2], [3, 4, 5], [6, 7, 8], [9, 10, 11]]

You could modify the matrix

m = Matrix.I(3) m[0,1]=m[1,0]=0.5 m[0,2]=m[2,0]=0.7 m[1,2]=m[2,1]=0.9 m # => Matrix[[1, 0.5, 0.7], [0.5, 1, 0.9], [0.7, 0.9, 1]]

Eigenvalues and EigenVectors. PCA at sight :)

m.eigenvaluesJacobi => Vector[0.523942339006665, 0.0632833995384682, 2.41277426145487] m.cJacobiV

=> Matrix[[0.818814082563014, 0.249617871497675, 0.516947208547894], [-0.550168858227442, 0.598307531004925, 0.58253096551128], [-0.163883268313767, -0.761392813580323, 0.62723461144538]]

REQUIREMENTS:
INSTALL:
LICENSE:

Copyright [2007] Cosmin Bonchis Copyright [2010] Claudio Bustos Copyright [2015] Ruby Science Foundation

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

See LICENSE.txt for more details


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.