The la4j library is open source and 100% Java library that provides Linear Algebra primitives (matrices and vectors) and algorithms. The library was initially designed to be lightweight and simple tool for passionate Java developers. It has been started as student project and turned into one of the most popular Java packages for matrices and vectors.

Installation

The details on latest stable version might be found at Github releases page.

<dependency>
  <groupId>org.la4j</groupId>
  <artifactId>la4j</artifactId>
  <version>0.6.0</version>
</dependency>

Features

The key features of the la4j library are:

Great performance allied with beautiful design
No dependencies and tiny size (~150kb jar)
Fluent object-oriented/functional API
Sparse (CRS, CCS) and dense (1D/2D arrays) matrices
Linear systems solving (Gaussian, Jacobi, Zeidel, Square Root, Sweep and other)
Matrices decomposition (Eigenvalues/Eigenvectors, SVD, QR, LU, Cholesky and other)
MatrixMarket/CSV IO formats support for matrices and vectors

Documentation

There are two main knowledge sources on la4j: JavaDoc and Github Wiki.

How To Contribute?

There are a lot of ways you can express you passion about the la4j library:

Give it a start on Github
Drop the feedback to the author
Buy a sticker on RedBubble

Installation

Features

Documentation

How To Contribute?

Links