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.
Name | CASA-report |
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Volume | 1028 |
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ISSN (Print) | 0926-4507 |
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