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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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