THE REGULARIZED ORTHOGONAL FUNCTIONAL MATCHING PURSUIT FOR ILL-POSED INVERSE PROBLEMS
We propose a novel algorithm to solve a general class of linear ill-posed inverse problems. For our numerical tests, we consider ill-posed problems on the sphere as they appear in the geosciences. Based on an iterative greedy algorithm, called the orthogonal matching pursuit, the signal is expanded...
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| Veröffentlicht in: | SIAM journal on numerical analysis 2016-01, Vol.54 (1), p.262-287 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
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