suitesparse-4.4.6p4
suite of sparse matrix algorithms
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Description
SuiteSparse is a suite of sparse matrix algorithms, including:
* 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.
* SPQR: multifrontal QR. Appears as QR and x=A\b in MATLAB.
* KLU and BTF: sparse LU factorization, well-suited for circuit simulation.
Appears in Xyce by Sandia, and many commercial circuit simulation packages.
* 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.
* UFget: a MATLAB interface for the UF Sparse Matrix Collection.
* 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 C=A*B in MATLAB.
* ... and many other packages.
Package information
- Ports path
- math/suitesparse
- Package architecture
- amd64
- Maintainer
- Paul Irofti <paul@irofti.net>
- Categories
- math
- Available flavors
- None listed
These are ports metadata. Binary availability depends on the release, architecture and mirror. Build and test dependencies are not an installation checklist.
Direct dependencies
Library
- lang/gcc/15,-libs STEM->=15,<16
- math/lapack
Build
- lang/gcc/15,-f95 STEM->=15,<16
- lang/gcc/15 STEM->=15,<16
- devel/gmake
Used by (7 dependency relationships)
Includes library, runtime, build and test relationships. Results load 100 at a time.