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De Gruyter Iterative Regularization Methods for Nonlinear Ill-posed Problems (Radon Series on Computational and Applied Mathematics): 6

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Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 May 2008
Listed Since
27 May 2008

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