Parameter Estimation and Inverse Problems

Nonfiction, Science & Nature, Science, Earth Sciences, Computers, Application Software, Business Software, Mathematics
Cover of the book Parameter Estimation and Inverse Problems by Richard C. Aster, Brian Borchers, Clifford H. Thurber, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Richard C. Aster, Brian Borchers, Clifford H. Thurber ISBN: 9780123850492
Publisher: Elsevier Science Publication: December 10, 2011
Imprint: Academic Press Language: English
Author: Richard C. Aster, Brian Borchers, Clifford H. Thurber
ISBN: 9780123850492
Publisher: Elsevier Science
Publication: December 10, 2011
Imprint: Academic Press
Language: English

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.

  • Includes appendices for review of needed concepts in linear, statistics, and vector calculus.
  • Accessible to students and professionals without a highly specialized mathematical background.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Elsevier Science

Cover of the book Advanced Mine Ventilation by Richard C. Aster, Brian Borchers, Clifford H. Thurber
Cover of the book Process Systems Engineering for Pharmaceutical Manufacturing by Richard C. Aster, Brian Borchers, Clifford H. Thurber
Cover of the book Cell Press Reviews: Core Concepts in Cell Biology by Richard C. Aster, Brian Borchers, Clifford H. Thurber
Cover of the book Mathematical Models for Neglected Tropical Diseases: Essential Tools for Control and Elimination, Part A by Richard C. Aster, Brian Borchers, Clifford H. Thurber
Cover of the book Machine Learning by Richard C. Aster, Brian Borchers, Clifford H. Thurber
Cover of the book Engineering Neural Tissue from Stem Cells by Richard C. Aster, Brian Borchers, Clifford H. Thurber
Cover of the book Digital Disruption and Electronic Resource Management in Libraries by Richard C. Aster, Brian Borchers, Clifford H. Thurber
Cover of the book zika virus disease by Richard C. Aster, Brian Borchers, Clifford H. Thurber
Cover of the book Heat Transfer Enhancement Using Nanofluid Flow in Microchannels by Richard C. Aster, Brian Borchers, Clifford H. Thurber
Cover of the book Biodegradable and Biocompatible Polymer Composites by Richard C. Aster, Brian Borchers, Clifford H. Thurber
Cover of the book Cognitive Neuroscience and Psychotherapy by Richard C. Aster, Brian Borchers, Clifford H. Thurber
Cover of the book UHV Transmission Technology by Richard C. Aster, Brian Borchers, Clifford H. Thurber
Cover of the book Baking Problems Solved by Richard C. Aster, Brian Borchers, Clifford H. Thurber
Cover of the book Seaweed in Health and Disease Prevention by Richard C. Aster, Brian Borchers, Clifford H. Thurber
Cover of the book Current Advances in Mechanical Design and Production VII by Richard C. Aster, Brian Borchers, Clifford H. Thurber
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy