| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4645327 | Applied Numerical Mathematics | 2012 | 15 Pages |
Abstract
A novel preconditioned iterative method for solving discrete ill-posed problems, based on the Arnoldi algorithm for matrix functions, is presented. The method is also extended to work in connection with Tikhonov regularization. Numerical experiments arising from the solution of integral equations and image restoration are presented.
Related Topics
Physical Sciences and Engineering
Mathematics
Computational Mathematics
