SIAM Journal on Matrix Analysis and Applications · 2000 · 19 citations · 28 references
ComputingComputer ScienceOptimizationParallel ComputingTime Series AnalysisConvergence AnalysisMatrix ComputationNumerical AnalysisNumerical Linear AlgebraMinimizationSparse Linear AlgebraSparse Matrix AlgorithmsSparse Matrix ComputationSparse Matrix Techniques
Lanczos-type product methods for the solution of large sparse non-Hermitian linear systems either square the Lanczos process or combine it with a local minimization of the residual. They inherit from the underlying Lanczos process the danger of breakdown. For various Lanczos-type product methods that are based on the Lanczos three-term recurrence, look-ahead versions are presented which avoid such breakdowns or near-breakdowns at the cost of a small computational overhead. Different look-ahead strategies are discussed and their efficiency is demonstrated by several numerical examples.
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