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Aggiungi al carrelloBuch. Condizione: 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.
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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 appear in many applications, and typically they lead to mathematical models that are ill-posed, that is they are unstable under data perturbations. Those problems require a regularization, that is a special numerical treatment. This book presents regularization schemes which are based on iteration methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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 appear in many applications, and typically they lead to mathematical models that are ill-posed, that is they are unstable under data perturbations. Those problems require a regularization, that is a special numerical treatment. This book presents regularization schemes which are based on iteration methods. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. .
Editore: De Gruyter, De Gruyter Mai 2008, 2008
ISBN 10: 3110204207 ISBN 13: 9783110204209
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloBuch. 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, AustriaWalter de Gruyter GmbH, Genthiner Strasse 13, 10785 Berlin 204 pp. Englisch.
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Editore: De Gruyter, De Gruyter Mouton Mai 2008, 2008
ISBN 10: 3110204207 ISBN 13: 9783110204209
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 179,95
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Aggiungi al carrelloBuch. Condizione: 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.