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100%: Barbara Kaltenbacher/ Andreas Neubauer/ Otmar Scherzer: Iterative Regularization Methods for Nonlinear Ill-Posed Problems (ISBN: 9783110208276) 2008, Erstausgabe, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
55%: Barbara Kaltenbacher; Andreas Neubauer; Otmar Scherzer: Iterative Regularization Methods for Nonlinear Ill-Posed Problems (ISBN: 9783110204209) 2008, Erstausgabe, in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
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1
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
DE HC NWISBN: 9783110204209 bzw. 3110204207, in Deutsch, Walter de Gruyter, gebundenes Buch, neu.
Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
Hardcover. 196 pages. Dimensions: 9.7in. x 6.9in. x 0.6in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Hardcover. 196 pages. Dimensions: 9.7in. x 6.9in. x 0.6in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
2
Iterative Regularization Methods for Nonlinear Ill-Posed Problems (2008)
DE NW RPISBN: 9783110204209 bzw. 3110204207, in Deutsch, De Gruyter Mai 2008, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand 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 iteration Modified Landweber methods Newton type methods Multilevel methods Level set methods Applications 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. 194 pp. Englisch.
This item is printed on demand - Print on Demand 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 iteration Modified Landweber methods Newton type methods Multilevel methods Level set methods Applications 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. 194 pp. Englisch.
3
Iterative Regularization Methods for Nonlinear Ill-Posed Problems (2008)
DE NWISBN: 9783110204209 bzw. 3110204207, in Deutsch, De Gruyter Mai 2008, neu.
Von Händler/Antiquariat, Agrios-Buch [57449362], Bergisch Gladbach, Germany.
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 iteration Modified Landweber methods Newton type methods Multilevel methods Level set methods Applications 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. 194 pp. Englisch.
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 iteration Modified Landweber methods Newton type methods Multilevel methods Level set methods Applications 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. 194 pp. Englisch.
4
Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Radon Series on Computational and Applied Mathematics) (2008)
EN HC US FEISBN: 9783110204209 bzw. 3110204207, in Englisch, 196 Seiten, Walter de Gruyter, gebundenes Buch, gebraucht, Erstausgabe.
Neu ab: $126.33 (13 Angebote)
Gebraucht ab: $126.25 (6 Angebote)
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Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, tabletopart.
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. Hardcover, Ausgabe: 1, Label: Walter de Gruyter, Walter de Gruyter, Produktgruppe: Book, Publiziert: 2008-05-20, Studio: Walter de Gruyter, Verkaufsrang: 6502605.
Von Händler/Antiquariat, tabletopart.
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. Hardcover, Ausgabe: 1, Label: Walter de Gruyter, Walter de Gruyter, Produktgruppe: Book, Publiziert: 2008-05-20, Studio: Walter de Gruyter, Verkaufsrang: 6502605.
5
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
DE NW EBISBN: 9783110204209 bzw. 3110204207, in Deutsch, De Gruyter, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, E-Book zum download.
Mathematics, 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.
Mathematics, 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.
6
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
DE NW EB DLISBN: 9783110208276 bzw. 311020827X, in Deutsch, De Gruyter, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Versandkostenfrei.
Iterative Regularization Methods for Nonlinear Ill-Posed Problems: 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. Englisch, Ebook.
Iterative Regularization Methods for Nonlinear Ill-Posed Problems: 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. Englisch, Ebook.
7
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
DE NWISBN: 9783110208276 bzw. 311020827X, in Deutsch, De Gruyter, neu.
Lieferung aus: Deutschland, sofort lieferbar.
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 iteration Modified Landweber methods Newton type methods Multilevel methods Level set methods Applications.
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 iteration Modified Landweber methods Newton type methods Multilevel methods Level set methods Applications.
8
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
~EN NWISBN: 9783110204209 bzw. 3110204207, vermutlich in Englisch, de Gruyter, Berlin/New York, Deutschland, neu.
Lieferung aus: Kanada, Lagernd, zzgl. Versandkosten.
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 Ulrich Langer, Johannes Kepler University Linz, Austria Editorial Board Hansj rg 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.
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 Ulrich Langer, Johannes Kepler University Linz, Austria Editorial Board Hansj rg 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.
9
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
DE NWISBN: 9783110208276 bzw. 311020827X, in Deutsch, de Gruyter, Berlin/New York, Deutschland, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Versandkostenfrei.
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10
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
DE NW EBISBN: 9783110208276 bzw. 311020827X, in Deutsch, Walter de Gruyter, neu, E-Book.
Lieferung aus: Deutschland, Versandkostenfrei, In stock (Download).
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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