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the entire directory
only in Linear_Algebra/Sparse
Description
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Computers
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Programming
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Fortran
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Source Code
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Linear Algebra
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Sparse
(12)
BILUM
 Code by Yousef Saad and Jun Zhang to solve general sparse linear systems by using Krylov subspace methods preconditioned by some multilevel block ILU (BILUM) preconditioning techniques.
ITPACK
 Collection of Fortran 77 subroutines for solving large sparse linear systems by adaptive accelerated iterative algorithms.
MUMPS: A Multifrontal Massively Parallel Sparse Direct Solver
 Fortran 90 package for solving linear systems of equations of the form A*x = b, where the matrix A is sparse and can be either unsymmetric, symmetric positive definite, or general symmetric. Released in the public domain. Includes documentation, related publications, and an FAQ.
NIST Fortran Sparse BLAS
 Provides computational kernels for fundamental sparse matrix operations.
NSPCG
 Fortran 77 subroutines for solving large sparse linear systems by adaptive accelerated iterative algorithms.
OptimQR
 The optimqr program will read a description of the sparsity pattern of some system matrix for system of linear equations. It will then apply heuristic branch and bound search to find a nearoptimal ordering of the rows and columns of the system matrix. The ordering is written to disk. The codegen.pl program can then read the system ordering, and create a solver written in Fortran 77, that will solve the system using sparse QR factorization (using Givens rotations).
PROPACK
 Software by Rasmus Munk Larsen for large and sparse SVD calculations, with versions in Fortran and Matlab.
SMLIB
 Fortran 90 modules by Ernst Meese for the compressed sparse row (CSR) and the modified sparse row (MSR) data storage formats, a very general incomplete LU factorisation routine, the Krylov subspace solvers CGS, BiCGSTAB and GMRES.
SMMP
 Fortran 77 code for sparse matrix multiplication, transposition, and format conversion.
SVDPACK
 Comprised of four numerical (iterative) methods for computing the singular value decomposition (SVD) of large sparse matrices using double precision Fortran 77.
Systems Optimization Laboratory
 Code for sparse linear equations (symmetric or general) and sparse least squares, and updating a dense square factorization L C = U.
Y12m
 Fortran 77 code that solves sparse systems of linear algebraic equations by Gaussian elimination.
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Last update: April 17, 2014 at 7:35:06 UTC 
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