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oj! Algorithms

oj! Algorithms - ojAlgo - is Open Source Java code that has to do with mathematics, linear algebra and optimisation; particularly (but certainly not exclusively) suitable for the financial domain.

2014-09-07: Released v36

This release targets Java 7. Just before releasing it it was discovered that using Java 8 rather than Java 7 to run the unit tests causes a handful of tests to fail. The failing tests are related to the LinearSolver and IntegerSolver in the optimisation package. Investing this and fixing it is the focus for v37.

Download the latest prebuilt version of ojAlgo from SourceForge, or fork the source code at GitHub.

Download Latest Version

For an outline of recent changes there is a change log covering the latest 10 releases.

2014-07-30: New Java Matrix Benchmark results

What is it?

ojAlgo is Open Source Java code that has to do with mathematics, linear algebra and optimisation. ojAlgo really is 100% pure Java source code. There are no calls to native (C or Fortran) libraries. In fact there are no dependencies at all. Nothing besides a Java SDK is needed to compile or execute the code. Its feature set make it particularily suitable for use within the financial domain. Then again, it's just maths...   More...

License

ojAlgo is an Open Source project. It is available as source code, and every single source code file contain a copyright statement and a license agreement. All files have the same copyright and license. Optimatika holds the copyright, and the license used is the generous and easy to understand MIT license. Please read and comply with the license agreement - it's not hard. More...

Where can I get it?

You get ojAlgo from SourceForge; either as a compiled and packaged download, or as source code directly from CVSMore...

Is it documented?

Well... There is this web site, the JavaDoc. and a couple of wiki pages over at Google Code. More will follow, but the JavaDoc (and source code) will always be the main source of documentation. Improving the documenation will mainly be improving the JavaDoc.  More...

For bug reports, questions or discussions related to ojAlgo; please use the ojAlgo-user mailing list.


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