Jari Kaipio

(Author)

Statistical and Computational Inverse ProblemsPaperback, 29 November 2010

Statistical and Computational Inverse Problems
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Part of Series
Applied Mathematical Sciences
Part of Series
Applied Mathematical Sciences (Springer)
Print Length
340 pages
Language
English
Publisher
Springer
Date Published
29 Nov 2010
ISBN-10
1441919643
ISBN-13
9781441919649

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 know

Product Details

Authors:
Jari KaipioE Somersalo
Book Format:
Paperback
Country of Origin:
NL
Date Published:
29 November 2010
Dimensions:
23.39 x 15.6 x 1.88 cm
ISBN-10:
1441919643
ISBN-13:
9781441919649
Language:
English
Location:
New York, NY
Pages:
340
Publisher:
Weight:
498.95 gm

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