
Parameter Estimation and Inverse Problems
Resources
Description
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
Readership
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
Table of Contents
1. Introduction
2. Linear Regression
3. Rank Deficiency and Ill-Conditioning
4. Tikhonov Regularization
5. Discretizing by Basis Functions
6. Iterative Methods of Solving Linear Problems
7. Additional Regularization Techniques
8. Fourier Techniques
9. Nonlinear Regression
10. Nonlinear Inverse Problems
11. Bayesian Methods
12 Adjoint Methods
Product details
- No. of pages: 404
- Language: English
- Copyright: © Elsevier 2018
- Published: October 16, 2018
- Imprint: Elsevier
- Paperback ISBN: 9780128046517
- eBook ISBN: 9780128134238
About the Authors
Richard C. Aster
Affiliations and Expertise
Brian Borchers

Affiliations and Expertise
Clifford H. Thurber

Affiliations and Expertise
Ratings and Reviews
Latest reviews
(Total rating for all reviews)
ChristianHasse Mon Aug 12 2019
Parameter Estimation and inverse problems
very comprehensive introduction, very good to better understand Bayesian statistics.
Chi-YuChiu Sun May 12 2019
good reference book.
good reference book.