TIKHONOV REGULARIZATION AND TOTAL LEAST SQUARES
| dc.contributor.author | Golub, Gene H. | en_US |
| dc.contributor.author | Hansen, Per Christian | en_US |
| dc.contributor.author | O'Leary, Dianne P. | en_US |
| dc.date.accessioned | 2004-05-31T22:47:32Z | |
| dc.date.available | 2004-05-31T22:47:32Z | |
| dc.date.created | 1997-08 | en_US |
| dc.date.issued | 1998-10-15 | en_US |
| dc.description.abstract | Discretizations of inverse problems lead to systems of linear equations with a highly ill-conditioned coefficient matrix, and in order to compute stable solutions to these systems it is necessary to apply regularization methods. We show how Tikhonov's regularization method, which in its original formulation involves a least squares problem, can be recast in a total least squares formulation, suited for problems in which both the coefficient matrix and the right-hand side are known only approximately. We analyze the regularizing properties of this method and demonstrate by a numerical example that in certain cases with large perturbations, the new method is superior to standard regularization methods. (Also cross-referenced as UMIACS-TR-97-65) | en_US |
| dc.format.extent | 152338 bytes | |
| dc.format.mimetype | application/postscript | |
| dc.identifier.uri | http://hdl.handle.net/1903/913 | |
| dc.language.iso | en_US | |
| dc.relation.isAvailableAt | Digital Repository at the University of Maryland | en_US |
| dc.relation.isAvailableAt | University of Maryland (College Park, Md.) | en_US |
| dc.relation.isAvailableAt | Tech Reports in Computer Science and Engineering | en_US |
| dc.relation.isAvailableAt | UMIACS Technical Reports | en_US |
| dc.relation.ispartofseries | UM Computer Science Department; CS-TR-3829 | en_US |
| dc.relation.ispartofseries | UMIACS; UMIACS-TR-97-65 | en_US |
| dc.title | TIKHONOV REGULARIZATION AND TOTAL LEAST SQUARES | en_US |
| dc.type | Technical Report | en_US |