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Inverse Problem Theory
Inverse Problem Theory
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Inverse Problem Theory

Methods for Data Fitting and Model Parameter Estimation
A. Tarantola
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644 pages
language
English
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📖 Book - PDF

Inverse Problem Theory

Methods for Data Fitting and Model Parameter Estimation
A. Tarantola
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About This Book

Inverse Problem Theory is written for physicists, geophysicists and all scientists facing the problem of quantitative interpretation of experimental data. Although it contains a lot of mathematics, it is not intended as a mathematical book, but rather tries to explain how a method of acquisition of information can be applied to the actual world.The book provides a comprehensive, up-to-date description of the methods to be used for fitting experimental data, or to estimate model parameters, and to unify these methods into the Inverse Problem Theory. The first part of the book deals with discrete problems and describes Maximum likelihood, Monte Carlo, Least squares, and Least absolute values methods. The second part deals with inverse problems involving functions.The book is almost completely self-contained, with all important concepts carefully introduced. Although theoretical concepts are strongly emphasized, the author has ensured that all the useful formulas are listed, with many special cases included. The book will thus serve equally well as a reference manual for researchers needing to refresh their memories on a given algorithm, or as a textbook in a course for undergraduate or graduate students.

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Information

Publisher
Elsevier Science
Year
2013
ISBN
9780444599674
Topic
Mathematics
Subtopic
Discrete Mathematics

Table of contents