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  5. GMRES/CR and Arnoldi/Lanczos as Matrix Approximation Problems

GMRES/CR and Arnoldi/Lanczos as Matrix Approximation Problems

File(s)
92-096.ps (559.58 KB)
92-096.pdf (190.51 KB)
Permanent Link(s)
https://hdl.handle.net/1813/5473
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Cornell Theory Center Technical Reports
Author
Greenbaum, Anne
Trefethen, Lloyd N.
Abstract

The GMRES and Arnoldi algorithms, which reduce to the CR and Lanczos algorithms in the symmetric case, both minimize ||p(A)b|| over polynomials p of degree n. The difference is that p is nor- malized at z=0 for GMRES and at z=infinity for Arnoldi. Analogous "ideal GMRES" and "ideal Arnoldi" problems are obtained if one removes b from the discussion and minimizes ||p(A)|| instead. Investigation of these true and ideal approximation problems gives insight into how fast GMRES converges and how the Arnoldi iteration locates eigenvalues.

Date Issued
1992-06
Publisher
Cornell University
Keywords
theory center
Previously Published as
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.tc/92-096
Type
technical report

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