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GMRES On (Nearly) Singular Systems
We consider the behavior of the GMRES method for solving a linear system $Ax = b$ when $A$ is singular or nearly so, i.e., ill conditioned. The (near) singularity of $A$ may or may not affect the performance of GMRES, depending on the nature of the system and the initial approximate solution. For si...
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Published in: | SIAM journal on matrix analysis and applications 1997-01, Vol.18 (1), p.37-51 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | We consider the behavior of the GMRES method for solving a linear system $Ax = b$ when $A$ is singular or nearly so, i.e., ill conditioned. The (near) singularity of $A$ may or may not affect the performance of GMRES, depending on the nature of the system and the initial approximate solution. For singular $A$, we give conditions under which the GMRES iterates converge safely to a least-squares solution or to the pseudoinverse solution. These results also apply to any residual minimizing Krylov subspace method that is mathematically equivalent to GMRES. A practical procedure is outlined for efficiently and reliably detecting singularity or ill conditioning when it becomes a threat to the performance of GMRES. |
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ISSN: | 0895-4798 1095-7162 |
DOI: | 10.1137/S0895479894262339 |