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Cover: 9780387220734 | Statistical and Computational Inverse Problems | E. Somersalo (u. a.)
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Statistical and Computational Inverse Problems
Buch von E. Somersalo (u. a.)
Sprache: Englisch

118,95 €*

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Lieferzeit 2-3 Wochen

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Beschreibung
This book is aimed at postgraduate students in applied mathematics as well as at engineering and physics students with a ?rm background in mathem- ics. The ?rst four chapters can be used as the material for a ?rst course on inverse problems with a focus on computational and statistical aspects. On the other hand, Chapters 3 and 4, which discuss statistical and nonstati- ary inversion methods, can be used by students already having knowldege of classical inversion methods. There is rich literature, including numerous textbooks, on the classical aspects of inverse problems. From the numerical point of view, these books concentrate on problems in which the measurement errors are either very small or in which the error properties are known exactly. In real-world pr- lems, however, the errors are seldom very small and their properties in the deterministic sensearenot wellknown.For example,inclassicalliteraturethe errornorm is usuallyassumed to be a known realnumber. In reality,the error norm is a random variable whose mean might be known.
This book is aimed at postgraduate students in applied mathematics as well as at engineering and physics students with a ?rm background in mathem- ics. The ?rst four chapters can be used as the material for a ?rst course on inverse problems with a focus on computational and statistical aspects. On the other hand, Chapters 3 and 4, which discuss statistical and nonstati- ary inversion methods, can be used by students already having knowldege of classical inversion methods. There is rich literature, including numerous textbooks, on the classical aspects of inverse problems. From the numerical point of view, these books concentrate on problems in which the measurement errors are either very small or in which the error properties are known exactly. In real-world pr- lems, however, the errors are seldom very small and their properties in the deterministic sensearenot wellknown.For example,inclassicalliteraturethe errornorm is usuallyassumed to be a known realnumber. In reality,the error norm is a random variable whose mean might be known.
Zusammenfassung

Includes supplementary material: [...]

Inhaltsverzeichnis
Inverse Problems and Interpretation of Measurements.- Classical Regularization Methods.- Statistical Inversion Theory.- Nonstationary Inverse Problems.- Classical Methods Revisited.- Model Problems.- Case Studies.
Details
Erscheinungsjahr: 2004
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 360
Reihe: Applied Mathematical Sciences
Inhalt: xvi
340 S.
102 s/w Illustr.
47 s/w Fotos
50 s/w Zeichng.
ISBN-13: 9780387220734
ISBN-10: 0387220739
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Somersalo, E.
Kaipio, Jari
Auflage: 2005
Hersteller: Springer New York
Springer US, New York, N.Y.
Applied Mathematical Sciences
Maße: 241 x 160 x 25 mm
Von/Mit: E. Somersalo (u. a.)
Erscheinungsdatum: 01.12.2004
Gewicht: 0,705 kg
preigu-id: 102445717
Zusammenfassung

Includes supplementary material: [...]

Inhaltsverzeichnis
Inverse Problems and Interpretation of Measurements.- Classical Regularization Methods.- Statistical Inversion Theory.- Nonstationary Inverse Problems.- Classical Methods Revisited.- Model Problems.- Case Studies.
Details
Erscheinungsjahr: 2004
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 360
Reihe: Applied Mathematical Sciences
Inhalt: xvi
340 S.
102 s/w Illustr.
47 s/w Fotos
50 s/w Zeichng.
ISBN-13: 9780387220734
ISBN-10: 0387220739
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Somersalo, E.
Kaipio, Jari
Auflage: 2005
Hersteller: Springer New York
Springer US, New York, N.Y.
Applied Mathematical Sciences
Maße: 241 x 160 x 25 mm
Von/Mit: E. Somersalo (u. a.)
Erscheinungsdatum: 01.12.2004
Gewicht: 0,705 kg
preigu-id: 102445717
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