Parameter Estimation and Inverse Problems

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Parameter Estimation and Inverse Problems,

Edition 3

Editors: By Richard C. Aster, Brian Borchers and Clifford H. Thurber

Publication Date: 23 Oct 2018

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Parameter Estimation and Inverse Problems, Third Edition, is structured around a course at New Mexico Tech and is designed to be accessible to typical graduate students in the physical sciences who do not have an extensive mathematical background. The book is complemented by a companion website that includes MATLAB codes that correspond to examples that are illustrated with simple, easy to follow problems that illuminate the details of particular numerical methods. Updates to the new edition include more discussions of Laplacian smoothing, an expansion of basis function exercises, the addition of stochastic descent, an improved presentation of Fourier methods and exercises, and more.

Key Features

Features examples that are illustrated with simple, easy to follow problems that illuminate the details of a particular numerical method
Includes an online instructor’s guide that helps professors teach and customize exercises and select homework problems
Covers updated information on adjoint methods that are presented in an accessible manner

About the author

By Richard C. Aster, New Mexico Institute of Mining and Technology, Socorro, USA; Brian Borchers, New Mexico Institute of Mining and Technology, Socorro, USA and Clifford H. Thurber, University of Wisconsin-Madison, USA

ISBN: 9780128046517

Page Count: 404

Retail Price :

Menke, Geophysical Data Analysis: Discrete Inverse Theory, 3e, Elsevier, 2012, 9780123971609, $89.95
Tarantola, Inverse Problem Theory: Methods for Data Fitting and Model Parameter Estimation, Elsevier, 1987, 9780444427656, $72.95

Graduate and advanced undergraduate students taking courses in geophysical inverse problems. It is also used as a reference for geoscientists and researchers in academe and industry

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