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Analyzed 22 days ago
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LAPACK provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are

Licenses:
BSD-3-Clause

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Analyzed 2 months ago
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Armadillo is a C++ linear algebra library (matrix maths) aiming towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional

Mostly written in language not available

Licenses:
mozilla_p...

*No analysis available*

The BLAS (Basic Linear Algebra Subprograms) are routines that provide standard building blocks for performing basic vector and matrix operations. The Level 1 BLAS perform scalar, vector and vector-vector operations, the Level 2 BLAS perform matrix-vector operations, and the Level 3 BLAS perform

Mostly written in language not available

Licenses:
blas

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Analyzed 22 days ago
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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.
jblas can is essentially a light-wight

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Analyzed 2 months ago
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ScaLAPACK is a library of high-performance linear algebra routines for parallel distributed memory machines. ScaLAPACK solves dense and banded linear systems, least squares problems, eigenvalue problems, and singular value problems.

Mostly written in language not available

Licenses:
BSD-3-Clause

T

*No analysis available*

TMV is a linear algebra class library for C++ designed to combine an obvious, user-friendly interface with the speed of optimized libraries like BLAS and LAPACK.Note: I am still in the process of transferring the code from SourceForge over to Google Code. For now, please see the project page at

Mostly written in language not available

Licenses:
gpl

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*No analysis available*

TMV is a comprehensive linear algebra library which uses operator overloading, views & delayed evaluation to simplify matrix and vector expressions in C++. It is well documented and can optionally call optimized BLAS/LAPACK for faster execution times.

Mostly written in language not available

Licenses:
No declared licenses