The la4j is open source and 100% Java library that provides Linear Algebra primitives (matrices and vectors) and algorithms. There are the key features of the la4j listed bellow:

• No dependencies and tiny size (~130kb jar)
• Simple and object-oriented/functional API
• Sparse (CRS, CCS) and dense (1D/2D arrays) matrices and vectors
• Linear systems solving (Gaussian, Jacobi, Zeidel, Square Root, Sweep and other)
• Matrices decomposition (Eigenvalues, SVD, QR, LU, Cholesky and other)
• Functors support: predicates, functions, procedures and accumulators
• MatrixMarket/CSV IO formats support

Matrix a = new Basic2DMatrix(new double[][] {
   { 1.0, 2.0, 3.0 },
   { 4.0, 5.0, 6.0 },
   { 7.0, 8.0. 9.0 }
});

Matrix b = a.invert(Matrices.DEFAULT_INVERTOR); // uses Gaussian Elimination 

Details of the last version of la4j can be found on the la4j project web site http://la4j.org or its GitHub page https://github.com/vkostyukov/la4j.

This software is licensed under the terms you may find in the file named "LICENSE" in this directory.

• Fork it
• Create your feature branch (git checkout -b my-new-feature)
• Commit your changes (git commit -am 'Add some feature')
• Push to the branch (git push origin my-new-feature)
• Create new Pull Request

la4j wouldn't be the library it is today without the source contributions made by the authors:

• Wajdy Essam
• Evgenia Krivova
• Julia Kostyukova
• Alessio Placitelli
• Pavel Kalaidin
• Chandler May
• Daniel Renshaw
• Ewald Grusk
• Jakob Moellers
• Yuriy Drozd
• Maxim Samoylov

by Vladimir Kostyukov, 2011-2013