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Parameter Estimation and Inverse Problems by Richard C. Aster, Brian Borchers, Clifford H. Thurber is a nonfiction available to read on EtoBox.

What is Parameter Estimation and Inverse Problems about?

<p><i>Parameter Estimation and Inverse Problems</i>, 2e<i> </i>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. </p> <p><i>Parameter Estimation and Inverse Problems</i>, 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 comput

Who reads Parameter Estimation and Inverse Problems?

Author

Richard C. Aster, Brian Borchers, Clifford H. Thurber

Publisher

Elsevier/Academic Press

Published

2011

Language

EN

ISBN

9780123850485

Category

nonfiction

Subjects

Mathematics, Computer Science, Science