Latest release (Dec 2012): la4j-0.3.0.zip
la4j (Linear Algebra for Java) 
la4j - is open source and 100% Java library that provides Linear Algebra primitives and algorithms. There are the key features of 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
Brief Example
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 Download
Details of the latest version of la4j can be found on the la4j project web site http://la4j.org or GitHub page https://github.com/vkostyukov/la4j.
Licensing
This software is licensed under the terms you may find in the file named "LICENSE" in this directory.
Contributors
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
by Vladimir Kostyukov, 2011-2013