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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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Informazioni sugli autori
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.
Dalla quarta di copertina
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 Editor Otmar Scherzer, RICAM, Linz, Austria; University of Vienna, Austria Editorial Board Hansjörg Albrecher, University of Lausanne, Switzerland Ronald H. W. Hoppe, University of Houston, USA Karl Kunisch, RICAM, Linz, Austria; University of Graz, Austria Harald Niederreiter, RICAM, Linz, Austria Christian Schmeiser, University of Vienna, Austria
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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.; 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. Codice articolo 9783110204209
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Buch. Condizione: 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, AustriaDe Gruyter Mouton, Genthiner Straße 13, 10785 Berlin 204 pp. Englisch. Codice articolo 9783110204209
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.; 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. Codice articolo 9783110204209
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