Téléchargez le livre : Statistical and Computational Inverse Problems

Statistical and Computational Inverse Problems

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Éditeur :

Springer


Collection :

Applied Mathematical Sciences

Paru le : 2006-03-30

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Description
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.
Pages
340 pages
Collection
Applied Mathematical Sciences
Parution
2006-03-30
Marque
Springer
EAN papier
9780387220734
EAN PDF
9780387271323
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
34
Taille du fichier
5110 Ko
Prix
137,79 €

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