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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Bibliographic Details
Published in:Journal of computational and applied mathematics Vol. 235; no. 4; pp. 1053 - 1064
Main Authors: Hochstenbach, Michiel E., Reichel, Lothar
Format: Journal Article Conference Proceeding
Language:English
Published: Kidlington Elsevier B.V 15.12.2010
Elsevier
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ISSN:0377-0427, 1879-1778
Online Access:Get full text
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Summary: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.
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ISSN:0377-0427
1879-1778
DOI:10.1016/j.cam.2010.06.016