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An efficient discretization scheme for solving ill-posed problems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Rajan, M. P. |
| Copyright Year | 2006 |
| Abstract | In this paper, we consider a finite-dimensional approximation scheme combined with Tikhonov regularization for solving ill-posed problems. Error estimates are obtained by an a priori parameter choice strategy and the results show that the amount of discrete information required for solving the problem is far less than the traditional finite-dimensional approach. |
| Starting Page | 654 |
| Ending Page | 677 |
| Page Count | 24 |
| File Format | PDF HTM / HTML |
| DOI | 10.1016/j.jmaa.2005.06.009 |
| Alternate Webpage(s) | https://core.ac.uk/download/pdf/82738141.pdf |
| Alternate Webpage(s) | https://doi.org/10.1016/j.jmaa.2005.06.009 |
| Volume Number | 313 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
