jblas is a fast linear algebra library for Java. It is based on BLAS and LAPACK, the de-facto industry standard for matrix computations, and uses state-of-the-art implementations like ATLAS for all its computational routines, making it very fast. It is essentially a lightweight wrapper around the BLAS and LAPACK routines. These packages originated in the Fortran community, which explains their archaic API. On the other hand, modern implementations are hard to beat performance-wise. jblas aims to make this functionality available to Java programmers such that they do not have to worry about writing JNI interfaces and calling conventions of Fortran code.
|Tags||Scientific/Engineering Mathematics Libraries|
|Operating Systems||Windows Linux|
Release Notes: The default jar now contains libraries including ATLAS for Windows, Linux, and Mac OS X, with 32-bit and 64-bit variants (though 64-bit support is still missing for Windows). Matrix classes are serializable. New functions were added for matrix exponentials, LU and Cholesky decomposition, prod(), project(), random permutations, and subsets.
Release Notes: This release mostly adds features to the build process and renames some packages and classes to make the structure simpler. No new significant functionality has been added. A bug in DoubleMatrix.copy() was fixed. Packages were renamed to make the structure simpler. The Blas class was renamed to NativeBLAS. The build process can now generate statically linked libraries and multi-platform jars. Generated wrapper code has been optimized a bit.
Release Notes: Initial release.