Parameter Estimation and Inverse Problems

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9780123850485: Parameter Estimation and Inverse Problems

"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 issues 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 problems. 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. It includes three appendices for review of linear algebra and crucial concepts in statistics. Battle-tested in courses at several universities. It includes MATLAB exercises that facilitate exploration of material.

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Review:

"...a very useful textbook at undergraduate and graduate-level courses teaching the numerical techniques used in parameter estimation...it will certainly be a very useful reference also for practitioners who need a guide in selecting the proper mathematical approach when solving real problems, not only in geophysics, but also other branches of science and engineering." -Wojciech Debski, Institute of Geophysics, Polish Academy of Sciences "The great strength of this book is that it is a 'one-shop-stop' for solving inverse problems; it contains many different methods for solving your particular problems and, in general, all of the background mathematics to help you understand the method itself." -John Brittan, in THE LEADING EDGE, SEPT 2005 "The writing is uniformly clear; one unfamiliar with even the most basic ideas of inverse theory will find it ideal for self-study. ...I found the authors' treatment of such concepts as existence, uniqueness, instability, resolution, and ill-posedness to be particularly succinct. They do a fine job in distinguishing the continuous from the discrete case, and they point out some of the pitfalls that can arise when going from one to the other, yet without becoming bogged down in sterile mathematical detail. ...This is an exceptionally well written introductory text which, for a change, is reasonably priced, placing it at least within reach of a college student." -Sven Treitel, The Leading Edge, March 2006 "This is a well designed textbook with a very clean approach [and] a fine introduction for inverse problems in applied fields. .The tone of the writing is conversational in a way that allows the ideas to come across clearly, while the content is mathematically rigorous, presenting details relevent to the topic and providing references for the rest." -Paul Phillips, University of Dallas for MAA, February 2006 "A well-presented textbook [and] a one-stop-shop for solving inverse problems...a well recommended addition to the technical library of anybody who has to deal with inverse problems on a regular basis." --John Brittan, Walton-on-Thames, UK for "The Leading Edge", September 2005

About the Author:

By Richard Aster, Brian Borchers and Cliff Thurber

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Book Description Elsevier Science Publishing Co Inc, United States, 2012. Hardback. Book Condition: New. 2nd Revised edition. 236 x 196 mm. Language: English . Brand New Book. Parameter Estimation and Inverse Problems, 2e provides geoscience students and professionals with answers to common questions like how one can derive a physical model from a finite set of observations containing errors, and how one may determine the quality of such a model. This book takes on these fundamental and challenging problems, introducing students and professionals to the broad range of approaches that lie in the realm of inverse theory. The authors present both the underlying theory and practical algorithms for solving inverse problems. The authors treatment is appropriate for geoscience graduate students and advanced undergraduates with a basic working knowledge of calculus, linear algebra, and statistics. Parameter Estimation and Inverse Problems, 2e introduces readers to both Classical and Bayesian approaches to linear and nonlinear problems with particular attention paid to computational, mathematical, and statistical issues related to their application to geophysical problems. The textbook includes Appendices covering essential linear algebra, statistics, and notation in the context of the subject. A companion website features computational examples (including all examples contained in the textbook) and useful subroutines using MATLAB. * Includes appendices for review of needed concepts in linear, statistics, and vector calculus.* Companion website contains comprehensive MATLAB code for all examples, which readers can reproduce, experiment with, and modify.* Online instructor s guide helps professors teach, customize exercises, and select homework problems* Accessible to students and professionals without a highly specialized mathematical background. Bookseller Inventory # AAS9780123850485

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Book Description Elsevier Science Publishing Co Inc, United States, 2012. Hardback. Book Condition: New. 2nd Revised edition. 236 x 196 mm. Language: English . Brand New Book. Parameter Estimation and Inverse Problems, 2e provides geoscience students and professionals with answers to common questions like how one can derive a physical model from a finite set of observations containing errors, and how one may determine the quality of such a model. This book takes on these fundamental and challenging problems, introducing students and professionals to the broad range of approaches that lie in the realm of inverse theory. The authors present both the underlying theory and practical algorithms for solving inverse problems. The authors treatment is appropriate for geoscience graduate students and advanced undergraduates with a basic working knowledge of calculus, linear algebra, and statistics. Parameter Estimation and Inverse Problems, 2e introduces readers to both Classical and Bayesian approaches to linear and nonlinear problems with particular attention paid to computational, mathematical, and statistical issues related to their application to geophysical problems. The textbook includes Appendices covering essential linear algebra, statistics, and notation in the context of the subject. A companion website features computational examples (including all examples contained in the textbook) and useful subroutines using MATLAB. * Includes appendices for review of needed concepts in linear, statistics, and vector calculus.* Companion website contains comprehensive MATLAB code for all examples, which readers can reproduce, experiment with, and modify.* Online instructor s guide helps professors teach, customize exercises, and select homework problems* Accessible to students and professionals without a highly specialized mathematical background. Bookseller Inventory # AAS9780123850485

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