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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
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.

2009-05-08 22:15
0.2

이 릴리스에는 대부분 구조를 간단하게 몇 가지 패키지와 클래스 이름을 바꾸는 프로세스를 구축하는 기능을 추가합니다. 아니 새로운 중요한 기능이 추가되었습니다. DoubleMatrix.copy에서 버그 ()에서 해결되었습니다. 패키지 구조를 간단하게 변경했다. Blas NativeBLAS 클래스로 변경했다. 지금은 플랫폼을 항아리에 정적으로 링크된 라이브러리 및 멀티 빌드 프로세스를 생성할 수있습니다. 생성된 래퍼 코드를 약간 최적화되었습니다.
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

초판.
Initial release.

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