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matrix-toolkits-java

Java linear algebra library powered by BLAS and LAPACK

MTJ is designed to be used as a library for developing numerical applications, both for small and large scale computations. The library is based on BLAS and LAPACK for its dense and structured sparse computations, and on the Templates project for unstructured sparse operations.

MTJ uses the netlib-java project as a backend, which can be set up to use machine-optimised BLAS libraries for improved performance of dense matrix operations, falling back to a pure Java implementation. This ensures perfect portability, while allowing for improved performance in a production environment.

History

This project was originally written by Bjørn-Ove Heimsund, who has taken a step back due to other commitments. The group here is primarily concerned with keeping the library maintained, and fixing bugs as they are discovered. There is no road plan for future releases.

Installation

<dependency>
    <groupId>com.googlecode.matrix-toolkits-java</groupId>
    <artifactId>mtj</artifactId>
    <version>0.9.14</version>
</dependency>

Sparse Solvers

MTJ supports sparse matrix storage but does not provide solvers for sparse matrices. Have a look at Sparse Eigensolvers for Java or consider implementing your own and letting us know about it (e.g. by using the ARPACK backend which comes with netlib-java).

Donations

Please consider supporting the maintenance of this open source project with a donation:

Donate via Paypal

Licence

Copyright (C) 2003-2006 Bjørn-Ove Heimsund Copyright (C) 2006 Samuel Halliday

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with this program. If not, see http://www.gnu.org/licenses/

Contributing

Contributors are encouraged to fork this repository and issue pull requests. Contributors implicitly agree to assign an unrestricted licence to Sam Halliday, but retain the copyright of their code (this means we both have the freedom to update the licence for those contributions).

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Java linear algebra library powered by BLAS and LAPACK

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