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Statistical and Computational Inverse Problems by Jari Kaipio
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Statistical and Computational Inverse Problems

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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.
Release date NZ
November 29th, 2010
Audience
  • Professional & Vocational
Edition
Softcover reprint of hardcover 1st ed. 2005
Illustrations
XVI, 340 p.
Pages
340
Dimensions
156x234x18
ISBN-13
9781441919649
Product ID
9598933

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