Compare Fortran. Buy Fortran at Shopping.com.
www.DealTime.co.uk(Sponsored Results)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.
http://www.cs.uky.edu/~jzhang/bilum.htmlBy Udo Grabowski.
http://www-imk.fzk.de:8080/imk2/ame/grabowski/DarkStar/spinoff.htmlCollection of Fortran 77 subroutines for solving large sparse linear systems by adaptive accelerated iterative algorithms.
http://rene.ma.utexas.edu/CNA/ITPACK/Solves sparse linear equations using a conjugate-gradient type method.
http://www.stanford.edu/group/SOL/software/minres.htmlProvides computational kernels for fundamental sparse matrix operations.
http://math.nist.gov/~KRemington/fspblas/Fortran 77 subroutines for solving large sparse linear systems by adaptive accelerated iterative algorithms.
http://rene.ma.utexas.edu/CNA/NSPCG/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 & bound search to find a near-optimal 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).
http://unthought.net/OptimQR/Software by Rasmus Munk Larsen for large and sparse SVD calculations, with versions in Fortran and Matlab.
http://sun.stanford.edu/~rmunk/PROPACK/By Yousef Saad and Kesheng Wu.
http://www-users.cs.umn.edu/~saad/software/p_sparslib/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.
ftp://ftp.ntnu.no/pub/smlib/Fortran 77 code for sparse matrix multiplication, transposition, and format conversion.
http://www.netlib.org/aicm/smmpGeneral purpose Fortran library by Yousef Saad for sparse matrix computations.
http://www-users.cs.umn.edu/~saad/software/SPARSKIT/sparskit.htmlComprised of four numerical (iterative) methods for computing the singular value decomposition (SVD) of large sparse matrices using double precision Fortran 77.
http://www.netlib.org/svdpack/Solves a set of sparse, symmetric linear equations using a conjugate gradient type method.
http://www.stanford.edu/group/SOL/software/symmlq.htmlCode for sparse linear equations (symmetric or general) and sparse least squares, and updating a dense square factorization L C = U.
http://www.stanford.edu/group/SOL/software.htmlFortran 77 source code for solving sparse asymmetric linear equations, including a version for complex matrices. There are copyright restrictions.
ftp://ftp.cis.ufl.edu/pub/umfpackFortran 77 code that solves sparse systems of linear algebraic equations by Gaussian elimination.
http://www.netlib.org/y12m/index.html