Parameter Estimation and Inverse Problems primarily serves as a textbook for advanced undergraduate and introductory graduate courses. Class notes have been developed and reside on the World Wide Web for faciliting use and feedback by teaching colleagues.
The authors' treatment promotes an understanding of fundamental and practical issus associated with parameter fitting and inverse problems including basic theory of inverse problems, statistical issues, computational issues, and an understanding of how to analyze the success and limitations of solutions to these probles. The text is also a practical resource for general students and professional researchers, where techniques and concepts can be readily picked up on a chapter-by-chapter basis.
Parameter Estimation and Inverse Problems is structured around a course at New Mexico Tech and is designed to be accessible to typical graduate students in the physical sciences who may not have an extensive mathematical background. It is accompanied by a Web site that contains Matlab code corresponding to all examples.
* Designed to be accessible to graduate students and professionals in physical sciences without an extensive mathematical background
* Includes three appendices for review of linear algebra and crucial concepts in statistics
* Battle-tested in courses at several universities
*MATLAB exercises facilitate exploration of material
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Geophysical inverse theory is a mathematical method to solving physical science problems commonly found in: Astrophysics, Geophysics, Atmospheric science, Oceanography, Geologiocal Engineering, Hydrology, and Applied Mathematics.About the Author:
By Richard Aster, Brian Borchers and Cliff Thurber
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Book Description Academic Press, 2005. Hardcover. Book Condition: New. Bookseller Inventory # SONG0120656043
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Book Description Academic Press, 2005. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Preface 1. Introduction 2. Linear Regression 3. Discretizing Continuous Inverse Problems 4. Rank Deficiency and Ill-Conditioning 5. Tikhonov Regularization 6. Iterative Methods 7. Other Regularization Techniques 8. Fourier Techniques 9. Nonlinear Regression 10. Nonlinear Inverse Problems 11. Bayesian Methods Appendix A: Review of Linear Algebra Appendix B: Review of Probability and Statistics Appendix C: Glossary of Notation Bibliography Index. Bookseller Inventory # ABE_book_new_0120656043
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Book Description Academic Press, 2005. Hardcover. Book Condition: New. book. Bookseller Inventory # 0120656043