Two-level least squares methods in Krylov subspaces (Q1662026)
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scientific article; zbMATH DE number 6920109
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Two-level least squares methods in Krylov subspaces |
scientific article; zbMATH DE number 6920109 |
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Two-level least squares methods in Krylov subspaces (English)
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17 August 2018
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The author presents two-level methods for accelerating the convergence of restarted iterations based on the least squares method (LSM) for decreasing the Euclidean norm of the residual, for large, sparse and ill-conditioned linear systems. In this respect, he also considers applications of less expensive conjugate residual (CR) algorithms and the Chebyshev acceleration. Numerical experiments are presented on a set of model Dirichlet problems for the convection-diffusion equation.
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Krylov subspaces
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Chebyshev acceleration
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two-level method
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least squares
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restarted conjugate residual method
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iterative methods
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convection-diffusion equation
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