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A suite of sparse matrix software (development files)

suitesparse_devel - 5.7.1-1 - x86_64

SuiteSparse is a suite of sparse matrix algorithms, including:

* GraphBLAS: graph algorithms in the language of linear algebra
* Mongoose: graph partitioning
* ssget: MATLAB and Java interface to the SuiteSparse Matrix Collection
* UMFPACK: multifrontal LU factorization.  Appears as LU and x=A\b in MATLAB.
* CHOLMOD: supernodal Cholesky.  Appears as CHOL and x=A\b in MATLAB.  Now with CUDA acceleration, in collaboration with NVIDIA.
* SPQR: multifrontal QR.  Appears as QR and x=A\b in MATLAB, with CUDA acceleration.
* KLU and BTF:  sparse LU factorization, well-suited for circuit simulation.
* Ordering methods (AMD, CAMD, COLAMD, and CCOLAMD).  AMD and COLAMD appear in MATLAB.
* CSparse and CXSparse: a concise sparse Cholesky factorization package for my SIAM book.
* spqr_rank: a MATLAB package for reliable sparse rank detection, null set bases, pseudoinverse solutions, and basic solutions.
* Factorize: an object-oriented solver for MATLAB (a reusable backslash).
* SSMULT and SFMULT: sparse matrix multiplication.  Appears as the built-in C=A*B operator in MATLAB.
* ... and many other packages.

Name
suitesparse_devel
Repository
HaikuPorts
Repository Source
haikuports_x86_64
Version
5.7.1-1
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234.9 KB (240497 B)
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