Subspace-restricted singular value decompositions for linear discrete ill-posed problems

The truncated singular value decomposition is a popular solution method for linear discrete ill-posed problems. These problems are numerically underdetermined. Therefore, it can be beneficial to incorporate information about the desired solution into the solution process. This paper describes a modi...

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Veröffentlicht in:Journal of computational and applied mathematics Jg. 235; H. 4; S. 1053 - 1064
Hauptverfasser: Hochstenbach, Michiel E., Reichel, Lothar
Format: Journal Article Tagungsbericht
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier B.V 15.12.2010
Elsevier
Schlagworte:
ISSN:0377-0427, 1879-1778
Online-Zugang:Volltext
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Zusammenfassung:The truncated singular value decomposition is a popular solution method for linear discrete ill-posed problems. These problems are numerically underdetermined. Therefore, it can be beneficial to incorporate information about the desired solution into the solution process. This paper describes a modification of the singular value decomposition that permits a specified linear subspace to be contained in the solution subspace for all truncations. Modifications that allow the range to contain a specified subspace, or that allow both the solution subspace and the range to contain specified subspaces also are described.
Bibliographie:ObjectType-Article-2
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content type line 23
ISSN:0377-0427
1879-1778
DOI:10.1016/j.cam.2010.06.016