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Iterative Regularization Methods for Nonlinear Ill-Posed Problems


Iterative Regularization Methods for Nonlinear Ill-Posed Problems


ISSN, Band 6 1. Aufl.

von: Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer

169,95 €

Verlag: De Gruyter
Format: PDF
Veröffentl.: 25.09.2008
ISBN/EAN: 9783110208276
Sprache: englisch
Anzahl Seiten: 202

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Beschreibungen

<p>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.</p>
<p>"This well written monograph may become a standard reference on regularization theory for nonlinear inverse problems."<br><em>Thorsten Hohage in: Mathematical Reviews 2010c</em></p>
<p><strong>Barbara Kaltenbacher</strong>, Universität Stuttgart; <strong>Andreas Neubauer</strong>, Johannes-Kepler-Universität Linz, Österreich; <strong>Otmar Scherzer</strong>, Universität Linz, Österreich.</p>

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