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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 Back to release list
1.0

기본 항아리 이제 32와 맥 OS X, 윈도우, 리눅 스용 ATLAS를 포함한 라이브러리를 포함 비트 및 64 비트 변형 (비록 64 비트 지원은 여전히 Windows 용)이없는 경우입니다. 매트릭스 수업 Serializable있습니다. 새로운 기능 매트릭스 exponentials, 뤼 및 Cholesky 분해에 대한 자극이 추가되었습니다 (), 프로젝트 (), 임의의 permutations, 그리고 하위.
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.

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