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Inverse Problem Theory and Methods for Model Parameter Estimation

Language EnglishEnglish
Book Paperback
Book Inverse Problem Theory and Methods for Model Parameter Estimation Albert Tarantola
Libristo code: 04176202
The use of actual observations to infer the properties of a model is an inverse problem, which are o... Full description
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The use of actual observations to infer the properties of a model is an inverse problem, which are often difficult as they may not have a unique solution. This book proposes a general approach that is valid for linear as well as for nonlinear problems. The philosophy is essentially probabilistic and allows the reader to understand the basic difficulties appearing in the resolution of inverse problems. The book attempts to explain how a method of acquisition of information can be applied to actual real-world problems, including many heuristic arguments. Prompted by recent developments in inverse theory, this text is a completely rewritten version of a 1987 book by the same author, and includes many algorithmic details for Monte Carlo methods, least-squares discrete problems, and least-squares problems involving functions. In addition, some notions are clarified, the role of optimization techniques is underplayed, and Monte Carlo methods are taken much more seriously.

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About the book

Full name Inverse Problem Theory and Methods for Model Parameter Estimation
Language English
Binding Book - Paperback
Date of issue 2005
Number of pages 354
EAN 9780898715729
ISBN 0898715725
Libristo code 04176202
Weight 61
Dimensions 153 x 253 x 20
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