Geophysical Data Analysis
Discrete Inverse Theory
3rd Edition
Published on 14. May 2014
331 pages
978-0-12-397784-7 (ISBN)
Description
Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background in science and mathematics. The new edition maintains the accessible and succinct manner for which it is known, with the addition of:
- MATLAB examples and problem sets
- Advanced color graphics
- Coverage of new topics, including Adjoint Methods; Inversion by Steepest Descent, Monte Carlo and Simulated Annealing methods; and Bootstrap algorithm for determining empirical confidence intervals
- Additional material on probability, including Bayesian influence, probability density function, and metropolis algorithm
- Detailed discussion of application of inverse theory to tectonic, gravitational and geomagnetic studies
- Numerous examples and end-of-chapter homework problems help you explore and further understand the ideas presented
- Use as classroom text facilitated by a complete set of exemplary lectures in Microsoft PowerPoint format and homework problem solutions for instructors
More details
Edition
3rd Revised ed.
Language
English
Place of publication
San Diego
United States
Illustrations
Approx. 125 illustrations (125 in full color)
ISBN-13
978-0-12-397784-7 (9780123977847)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
08/2016
3rd Edition
Academic Press
€81.70
Shipment within 15-20 days
Book
06/2012
3rd Edition
Academic Press
€76.74
Withdrawn from sale
Previous edition
William Menke
Geophysical Data Analysis: Discrete Inverse Theory
E-Book
12/2012
1st Edition
Academic Press
€54.95
Available for download
Person
William Menke is a Professor of Earth and Environmental Sciences at Columbia University. His research focuses on the development of data analysis algorithms for time series analysis and imaging in the earth and environmental sciences and the application of these methods to volcanoes, earthquakes, and other natural hazards. He has thirty years of experience teaching data analysis methods to both undergraduates and graduate students. Relevant courses that he has taught include, at the undergraduate level, Environmental Data Analysis and The Earth System, and at the graduate level, Geophysical Inverse Theory, Quantitative Methods of Data Analysis, Geophysical Theory and Practical Seismology.
Content
1. Describing Inverse Problems2. Some Comments on Probability Theory3. Solution of the Linear, Gaussian Inverse Problem, Viewpoint 1: The Length Method4. Solution of the Linear, Gaussian Inverse Problem, Viewpoint 2: Generalized Inverses5. Solution of the Linear, Gaussian Inverse Problem, Viewpoint 3: Maximum Likelihood Methods 6. Nonuniqueness and Localized Averages7. Applications of Vector Spaces8. Linear Inverse Problems and Non-Gaussian Statistics9. Nonlinear Inverse Problems10. Factor Analysis11. Continuous Inverse Theory and Tomography12. Sample Inverse Problems13. Applications of Inverse Theory to Solid Earth Geophysics
