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Projeto Descrição

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.

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2009-12-23 00:10
1.0

O frasco padrão agora contém bibliotecas incluindo ATLAS para Windows, Linux e Mac OS X, com 32-bit e 64-bit variants (embora suporte 64-bit ainda está faltando para Windows). Classes de Matrix são serializado. Novas funções foram adicionadas para exponenciais matriz, LU e decomposição de Cholesky, prod (), projeto (), permutações aleatórias, e subconjuntos.
Tags: Stable
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.

2009-05-08 22:15
0.2

Esta versão adiciona recursos principalmente para o processo de construção e renomeia alguns pacotes e classes para tornar a estrutura mais simples. Nenhuma funcionalidade nova significativa foi adicionada. Um bug no DoubleMatrix.copy () foi corrigido. Os pacotes foram renomeados para tornar a estrutura mais simples. A classe Blas foi renomeado para NativeBLAS. O processo de criação podem agora gerar bibliotecas estaticamente e multi-plataforma de frascos. Código wrapper gerado foi otimizado um pouco.
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.

2009-03-31 02:09
0.1

Initial release.
Initial release.

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