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Imsls

Iterative Methods for Sparse Linear Equations
(4102 downloads for this version - 10650 downloads for all versions)
Details
Version
0.1.2
Authors
Michael Baudin
INRIA - Aladin Group
Univ. of Tennessee and Oak Ridge National Laboratory
Owner Organization
DIGITEO and others
Maintainers
Vincent Couvert
Michael Baudin
Category
License
Dependency
Creation Date
July 15, 2014
Source created on
Scilab 5.5.x
Binaries available on
Scilab 5.5.x:
Windows 64-bit Windows 32-bit Linux 64-bit Linux 32-bit MacOSX
Install command
--> atomsInstall("imsls")
Description
            Imsls provides iterative methods for sparse linear systems of equations.

Features
--------

 * imsls_bicg: BIConjugate Gradient method
 * imsls_bicgstab: BIConjugate Gradient STABilized method
 * imsls_pcg: Conjugate Gradient method
 * imsls_cgs: Conjugate Gradient Squared method
 * imsls_cheby: CHEBYshev method
 * imsls_gmres: Generalized Minimal RESidual method
 * imsls_jacobi: JACOBI method
 * imsls_qmr: Quasi Minimal Residual method
 * imsls_sor: Successive Over-Relaxation method
 
Support:

 * imsls_benchmatrix : Test a matrix against all solvers.
 * imsls_getpath : Returns the path to the current module.
 * imsls_lehmer : Returns the Lehmer matrix.
 * imsls_makefish : Returns the Poisson matrix.
 * imsls_matgen : Returns a test matrix.
 * imsls_nonsym : Returns a non symetric matrix.
 * imsls_spdiags : Extract and create sparse band and diagonal matrices
 * imsls_split : Sets up the matrix splitting for Jacobi and SOR.
 * imsls_tester : Test all algorithms
 * imsls_wathen : Generates a random finite element matrix.

Compatibility:

 * mtlb_bicg : Solves linear equations using BiConjugate Gradient Method with
preconditioning.
 * mtlb_bicgstab : Solves linear equations using BiConjugate Gradient Stabilized
Method with preconditioning.
 * mtlb_cgs : Solves linear equations using Conjugate Gradient Squared Method
with preconditioning.
 * mtlb_gmres : Solves linear equations using Generalized Minimal residual with
restarts .
 * mtlb_pcg : Solves linear equations using Conjugate Gradient method with
preconditioning.
 * mtlb_qmr : Solves linear equations using Quasi Minimal Residual method with
preconditioning.

Bibliography
------------

 * http://www.irisa.fr/aladin/codes/SCILIN/
 * http://www.netlib.org/templates/
 * http://graal.ens-lyon.fr/~jylexcel/scilab-sparse/meeting07/
            
Files (2)
[235.31 kB]
Source code archive
Same sources as in previous toolbox version, updated to make it available for
Scilab 5.5.0
[415.56 kB]
OS-independent binary for Scilab 5.5.x
Binary version
Automatically generated by the ATOMS compilation chain

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