![Iterative Regularization Methods for Nonlinear Ill-Posed Problems [9783110204209]](https://cdn11.bigcommerce.com/s-gjd9kmzlkz/stencil/0a3b8350-9fbb-013f-e43b-5e53173c381a/e/f6cb8ca0-6c2a-013f-3893-3e291d6099c0/img/CustomProductDefault.png "Iterative Regularization Methods for Nonlinear Ill-Posed Problems [9783110204209]")
Overview
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.
The book, Iterative Regularization Methods for Nonlinear Ill-Posed Problems [Bulk, Wholesale, Quantity] ISBN#9783110204209 in Hardcover by Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
Format:
Hardcover
Publication Date:
05/20/2008
ISBN-10:
3110204207
ISBN-13:
9783110204209
Pages:
202
Publisher:
De Gruyter
