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portada Inverse Problem Theory and Methods for Model Parameter Estimation
Type
Physical Book
Publisher
Author
Year
2004
Language
English
Pages
352
Format
Paperback
Weight
1.40
ISBN
0898715725
ISBN13
9780898715729
Edition No.
1
Categories

Inverse Problem Theory and Methods for Model Parameter Estimation

Albert Tarantola (Author) · Society For Industrial And Applied Mathematics · Paperback

Inverse Problem Theory and Methods for Model Parameter Estimation - Albert Tarantola

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Delivery: 04 Aug - 06 Aug Shipping: 7 to 8 business days.
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Synopsis "Inverse Problem Theory and Methods for Model Parameter Estimation "

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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