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Kaltenbacher, Barbara / Neubauer, Andreas / Scherzer, Otmar

Iterative Regularization Methods for Nonlinear Ill-Posed Problems

Series:Radon Series on Computational and Applied Mathematics 6

    129,95 € / $182.00 / £97.99*

    eBook (PDF)
    Publication Date:
    September 2008
    Copyright year:
    2008
    ISBN
    978-3-11-020827-6
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    Overview

    Aims and Scope

    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.

    Supplementary Information

    Details

    viii, 194 pages
    Language:
    English
    Type of Publication:
    Monograph
    Keyword(s):
    Nonlinear Ill-Posed Problems; Nonlinear Inverse Problems; Iterative Regularization

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    Barbara Kaltenbacher, University Stuttgart; Andreas Neubauer, Johannes-Kepler-University Linz, Austria; Otmar Scherzer, University Linz, Austria.

    Reviews

    "This well written monograph may become a standard reference on regularization theory for nonlinear inverse problems."
    Thorsten Hohage in: Mathematical Reviews 2010c

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