May 26, 2018

Package for solving large sparse systems of linear equations

                    LASPack version 1.12.2

LASPack is a package for solving large sparse systems of linear equations like those which arise from discretization of partial differential equations.

Main features

  • The primary aim of LASPack is the implementation of efficient iterative methods for the solution of systems of linear equations.

  • Beside the obligatory Jacobi, succesive over-relaxation, Chebyshev, and conjugate gradient solvers, LASPack contains selected state-of-the-art algorithms which are commonly used for large sparse systems

    • CG-like methods for non-symmetric systems CGN, GMRES, BiCG, QMR, CGS, and BiCGStab,
    • multilevel methods such as multigrid and conjugate gradient method preconditioned by multigrid and BPX preconditioners.

A complete description of the package including the installation procedure you may find in LASPack Reference Manual

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