Original author(s) Type Library Website ejml.org | Operating system License Apache_License | |
Stable release 0.30 / November 9, 2016; 3 months ago (2016-11-09) | ||
Efficient Java Matrix Library (EJML) is a Java linear algebra library for manipulating dense matrices. Its design goals are; 1) to be as computationally and memory efficient as possible for both small and large matrices, and 2) to be accessible to both novices and experts. EJML is free, written in 100% Java and has been released under the Apache v2.0 license.
Contents
EJML has three distinct ways to interact with it: 1) procedural, 2) SimpleMatrix, and 3) Equations. Procedure provides all capabilities of EJML and almost complete control over memory creation, speed, and specific algorithms. SimpleMatrix provides a simplified subset of the core capabilities in an easy to use flow styled object-oriented API, inspired by Jama. Equations is a symbolic interface, similar in spirit to Matlab and other CAS, that provides a compact way of writing equations.
Capabilities
EJML provides the following capabilities for dense matrices.
Usage Example (Equations)
Computing the Kalman gain:
Usage Example (SimpleMatrix)
Example of Singular Value Decomposition (SVD):
Example of matrix multiplication:
Usage Example (DenseMatrix64F)
Example of Singular Value Decomposition (SVD):
Example of matrix multiplication: