Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Radon Series on Computational and Applied Mathematics, 6) - Hardcover
Synopsis
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.
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About the Authors
Barbara Kaltenbacher, Universität Stuttgart; Andreas Neubauer, Johannes-Kepler-Universität Linz, Österreich; Otmar Scherzer, Universität Linz, Österreich.
Barbara Kaltenbacher, University Stuttgart; Andreas Neubauer, Johannes-Kepler-University Linz, Austria; Otmar Scherzer, University Linz, Austria.
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Iterative Regularization Methods for Nonlinear Ill-Posed Problems
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nonlinear inverse problems result from 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.From the contents:Nonlinear Landweber iterationModified Landweber methodsNewton type methodsMultilevel methodsLevel set methodsApplications 204 pp. Englisch. Seller Inventory # 9783110204209
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Iterative Regularization Methods for Nonlinear Ill-Posed Problems
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ISBN 13: 9783110204209
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The series is devoted to the publication of high-level monographs, surveys and proceedings which cover the whole spectrum of computational and applied mathematics.The books of this series are addressed to both specialists and advanced students.Interested authors may submit book proposals to the Managing Editor or to any member of the Editorial Board.Managing EditorOtmar Scherzer, RICAM, Linz, Austria; University of Vienna, AustriaEditorial BoardHansjörg Albrecher, University of Lausanne, SwitzerlandRonald H. W. Hoppe, University of Houston, USAKarl Kunisch, RICAM, Linz, Austria; University of Graz, AustriaHarald Niederreiter, RICAM, Linz, AustriaChristian Schmeiser, University of Vienna, AustriaWalter de Gruyter GmbH, Genthiner Strasse 13, 10785 Berlin 204 pp. Englisch. Seller Inventory # 9783110204209
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Nonlinear inverse problems result from 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.From the contents:Nonlinear Landweber iterationModified Landweber methodsNewton type methodsMultilevel methodsLevel set methodsApplications. Seller Inventory # 9783110204209