Superlinear Convergence of Krylov Subspace Methods for Self-Adjoint Problems in Hilbert Space

SIAM JOURNAL ON NUMERICAL ANALYSIS(2015)

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摘要
The conjugate gradient and minimum residual methods for self-adjoint problems in Hilbert space are considered. Linear and superlinear convergence results with respect to both Q- and R-rates are reviewed. New results on l-step Q-superlinear and R-superlinear convergence for the minimum residual method are provided, and examples are considered to underscore the relevance of a Hilbert space theory.
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关键词
Krylov subspace methods,superlinear convergence,conjugate gradient method,minimum residual method,Hilbert spaces
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