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Laspack
Jul 20, 2023
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
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The primary aim of LASPack is the implementation of efficient iterative methods for the solution of systems of linear equations.
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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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