Parameter Estimation and Inverse Problems
Autor Richard C. Aster, Brian Borchers, Clifford H. Thurberen Limba Engleză Paperback – 22 oct 2018
- 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
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Specificații
ISBN-13: 9780128046517
ISBN-10: 0128046511
Pagini: 404
Dimensiuni: 191 x 235 mm
Greutate: 0.69 kg
Ediția:3
Editura: ELSEVIER SCIENCE
ISBN-10: 0128046511
Pagini: 404
Dimensiuni: 191 x 235 mm
Greutate: 0.69 kg
Ediția:3
Editura: ELSEVIER SCIENCE
Cuprins
1. Introduction2. Linear Regression3. Rank Deficiency and Ill-Conditioning4. Tikhonov Regularization5. Discretizing by Basis Functions6. Iterative Methods of Solving Linear Problems7. Additional Regularization Techniques8. Fourier Techniques9. Nonlinear Regression10. Nonlinear Inverse Problems11. Bayesian Methods12 Adjoint Methods
Recenzii
"A few years ago, it was my pleasure to review for the TLE this book’s first edition, published in 2005…The present revised version is some 60 pages longer and contains several significant modifications. As is true of the original, the book continues to be one of the clearest as well as the most comprehensive elementary expositions of discrete geophysical inverse theory. It is ideally suited for beginners as well as a fine resource for those searching for a particular inverse problem. Each algorithm is presented in the form of pseudo-code, then backed up by a collection of MATLAB codes downloadable from an Elsevier Web site…All examples in the book are beautifully illustrated with simple, easy to follow "cartoon" problems, and all painstakingly designed to illuminate the details of a particular numerical method." --The Leading Edge, July 2012