About: The Universal Java Matrix Package (UJMP) is a data processing tool for Java.

Initial Announcement on mloss.org.

About: Armadillo is a template C++ linear algebra library aiming towards a good balance between speed and ease of use. Matrix decompositions are provided through optional integration with LAPACK and ATLAS.

• extended and overhauled expression evaluation framework, for faster handling of compound expressions
• improvements in the documentation, including a conversion table between Matlab and Armadillo syntax

About: jblas is a fast linear algebra library for Java. jblas 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 jBLAS very fast.

Release 1.0 - December 22, 2009

Changes from 0.2:

• Default jar now contains JNI libraries including ATLAS for Windows, Linux, and Mac OS X, 32bit and 64bit (64bit version for Windows missing right now)

• Build for Mac OS X

• configure script has been overhauled.

• Matrix classes are now serializable.

• added LAPACK functions [sdcz]geev, [sd]getrf, [sd]potrf

• Added interfaces ConvertsToDoubleMatrix and ConverstToFloatMatrix

• Added class Decompose which provides LUDecomposition (based on getrf), and Cholesky decomposition (based on potrf)

• Matrix classes:

• Added read-only AbstractList views for elements, rows, and columns for better interfacing with Java's collection API.

• Added matrix exponentials (MatrixFunctions.expm) based on Pade approximation provided by Jan Saptra Müller. These should be pretty fast!

• Added prod() which returns the product of all elements.

• Added project() which projects one vector on another.

• Added diviRowVector().

• Added loadCSVFile().

• Added MatrixFunctions.min() and .max() for integers.

• Added Permutations class for generating random permutations and subsets based on the algorithms from Knuth's "The Art of Computer Programming", Vol. 2.