Directory Sites

  • BILUM

    Code by Yousef Saad and Jun Zhang to solve general sparse linear systems by using Krylov subspace methods preconditioned by some multi-level block ILU (BILUM) preconditioning techniques.

    www.cs.uky.edu

  • ITPACK

    Collection of Fortran 77 subroutines for solving large sparse linear systems by adaptive accelerated iterative algorithms.

    rene.ma.utexas.edu

  • MINRES: Sparse Symmetic Equations

    Solves sparse linear equations using a conjugate-gradient type method.

    www.stanford.edu

  • NIST Fortran Sparse BLAS

    Provides computational kernels for fundamental sparse matrix operations.

    math.nist.gov

  • NSPCG

    Fortran 77 subroutines for solving large sparse linear systems by adaptive accelerated iterative algorithms.

    rene.ma.utexas.edu

  • P_SPARSLIB: Library of Distributed-Memory Sparse Iterative Solvers

    By Yousef Saad and Kesheng Wu.

    www-users.cs.umn.edu

  • 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.

  • SPARSKIT

    General purpose Fortran library by Yousef Saad for sparse matrix computations.

    www-users.cs.umn.edu

  • SYMMLQ: Sparse Symmetic Equations

    Solves a set of sparse, symmetric linear equations using a conjugate gradient type method.

    www.stanford.edu

  • Systems Optimization Laboratory

    Code for sparse linear equations (symmetric or general) and sparse least squares, and updating a dense square factorization L C = U.

    www.stanford.edu

  • UMFPACK for sparse linear equations

    Fortran 77 source code for solving sparse asymmetric linear equations, including a version for complex matrices. There are copyright restrictions.

  • Block-band Matrix Solver

    By Udo Grabowski.

    www-imk.fzk.de

  • PROPACK

    Software by Rasmus Munk Larsen for large and sparse SVD calculations, with versions in Fortran and Matlab.

    sun.stanford.edu

  • SVDPACK

    Comprised of four numerical (iterative) methods for computing the singular value decomposition (SVD) of large sparse matrices using double precision Fortran 77.

    www.netlib.org

  • Y12m

    Fortran 77 code that solves sparse systems of linear algebraic equations by Gaussian elimination.

    www.netlib.org

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