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"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 2012Reseña del editor:
Parameter Estimation and Inverse Problems, Second Edition 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, Second Edition 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.
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Buchbeschreibung Elsevier Science & Technology 20120222, 2012. Zustand: Good. Shows some signs of wear, and may have some markings on the inside. Bestandsnummer des Verkäufers 18855621-6
Buchbeschreibung Academic Press. Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Bestandsnummer des Verkäufers 00012812019
Buchbeschreibung Academic Press, 2012. Hardcover. Zustand: GOOD. Has little wear to the cover and pages. Contains some markings such as highlighting and writing. Supplemental materials are not guaranteed with any used book purchases. Bestandsnummer des Verkäufers 0123850487_abe_gd
Buchbeschreibung Academic Press, 2012. Zustand: Good. A+ Customer service! Satisfaction Guaranteed! Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. Bestandsnummer des Verkäufers 0123850487-2-4