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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| Published in: | Journal of computational and applied mathematics Vol. 235; no. 4; pp. 1053 - 1064 |
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| Main Authors: | , |
| Format: | Journal Article Conference Proceeding |
| Language: | English |
| Published: |
Kidlington
Elsevier B.V
15.12.2010
Elsevier |
| Subjects: | |
| 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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| Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
| ISSN: | 0377-0427 1879-1778 |
| DOI: | 10.1016/j.cam.2010.06.016 |