Iterative Regularization Methods for Nonlinear Ill-Posed Problems
| By: | Barbara Kaltenbacher; Andreas Neubauer; Otmar Scherzer |
| Publisher: | De Gruyter |
| Print ISBN: | 9783110204209 |
| eText ISBN: | 9783110208276 |
| Edition: | 1 |
| Copyright: | 2008 |
| Format: | Page Fidelity |
Lifetime - $336.00
eBook Features
Instant Access
Purchase and read your book immediately
Read Offline
Access your eTextbook anytime and anywhere
Study Tools
Built-in study tools like highlights and more
Read Aloud
Listen and follow along as Bookshelf reads to you
Details
Table of Contents
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.