Iterative Regularization Methods for Nonlinear Ill-Posed Problems

by Andreas Neubauer, Otmar Scherzer, Barbara Kaltenbacher

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.

• Format: Hardcover
• Language: English
• ISBN: 3110204207
• ISBN13: 9783110204209
• Release Date: May 2008
• Publisher: de Gruyter
• Length: 202 Pages
• Weight: 1.16 lbs.
• Dimensions: 0.5" x 6.7" x 9.6"
• Age Range: 22 years and up
• Grade Range: Postsecondary