ojAlgo v53.1.0 was released today (2023-09-17). The most important additions are with the optimisation model and solvers: It's now possible to extract the Lagrange multipliers (dual variables) from the Optimisation.Result…

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On this day, 20 years ago, ojAlgo was registered at SourceForge. At that time, that was the place for Open Source project hosting (and the default version control system was CVS).…

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What software builds on ojAlgo, and what category developer finds ojAlgo useful? I've been meaning to write a post about that for some time now. Recently I've also felt an…

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https://lemire.me/blog/2022/11/22/what-is-the-size-of-a-byte-array-in-java/ Came across this blog post by Daniel Lemire. It's not his most interesting or informative post, but made me remember a little utility I wrote many years ago. MemoryEstimator…

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The main benefit with ojAlgo's suite of mathematical optimisation solvers is that it's open source pure Java. It allows to solve mathematical optimisation problems directly in the JVM – no…

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ojAlgo v52.0.0 has been released! It is the first release to require Java 11. org.ojalgo.array The array package now support "arrays" of any primitive numeric type. In particular support for…

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If you need to solve mathematical optimisation LP, QP or MIP models without calling native code – running only pure Java code – there are very few options. In fact,…

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