Iterative Regularization Methods for Nonlinear Ill-Posed Problems
Download or Read eBook Iterative Regularization Methods for Nonlinear Ill-Posed Problems PDF written by Barbara Kaltenbacher and published by Walter de Gruyter. This book was released on 2008-09-25 with total page 205 pages. Available in PDF, EPUB and Kindle.
| Author | : Barbara Kaltenbacher |
| Publisher | : Walter de Gruyter |
| Total Pages | : 205 |
| Release | : 2008-09-25 |
| ISBN-10 | : 9783110208276 |
| ISBN-13 | : 311020827X |
| Rating | : 4/5 (76 Downloads) |
Book Synopsis Iterative Regularization Methods for Nonlinear Ill-Posed Problems by : Barbara Kaltenbacher
Book excerpt: Nonlinear inverse problems appear in many applications, and typically they lead to mathematical models that are ill-posed, i.e., they are unstable under data perturbations. Those problems require a regularization, i.e., a special numerical treatment. This book presents regularization schemes which are based on iteration methods, e.g., nonlinear Landweber iteration, level set methods, multilevel methods and Newton type methods.
