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Iterative Regularization Methods For Nonlinear Ill-Posed Problems

by Otmar Scherzer, Andreas Neubauer e Barbara Kaltenbacher
language: english
Publisher: De Gruyter, May of 2008 ‧
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Nonlinear inverse problems appear in many applications, and typically they lead to mathematical models that are ill-posed, that is they are unstable under data perturbations. Those problems require a regularization, that is a special numerical treatment. This book presents regularization schemes which are based on iteration methods.

Iterative Regularization Methods For Nonlinear Ill-Posed Problems

by Otmar Scherzer, Andreas Neubauer e Barbara Kaltenbacher

Property Description
ISBN: 9783110204209
Publisher: De Gruyter
Release Date: May of 2008
Language: English
Dimensions: 170 x 240 x 20 mm
Cover: Hardcover
Pages: 202
Format: Book
Collection: Radon Series On Computational And Applied Mathematics
Categories: Books in English > Science > Mathematics
EAN: 9783110204209