Geophysical Data Analysis
Discrete Inverse Theory
- 1st Edition, Volume 45 - August 28, 1989
- Imprint: Academic Press
- Author: William Menke
- Language: English
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 5 0 7 3 2 - 3
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@introbul:Key Features@bul:* Updated and thoroughly revised edition* additional material on geophysical/acoustic tomography* Detailed discussion of application of inverse theory to tectonic, gravitational and geomagnetic studies
Graduate students and researchers in solid earth geophysics, seismology, atmospheric sciences and other areas of applied physics (e.g. image processing) and mathematics.
Intoduction. Describing Inverse Problems. Some Comments on Probability Theory. Solution of the Linear, Gaussian Inverse Problem, Viewpoint 1. The Length Method. Solution of the Linear, Gaussian Inverse Problem, Viewpoint 2. Generalized Inverses. Solution of the Linear, Gaussian Inverse Problem, Viewpoint 3. Maximum Likelihood Methods. Nonuniqueness and Localized Averages. Applications of Vector Spaces. Linear Inverse Problems and Non-Gaussian Distributions. Nonlinear Inverse Problems. Factor Analysis. Continuous Inverse Theory and Tomography. Sample Inverse Problems. Numerical Algorithms. Applications of Inverse Theory to Geophysics. Appendices. Implementing Constraints with Lagrange Multipliers. Inverse Theory with Complex Quantities. References. Index
- Edition: 1
- Volume: 45
- Published: August 28, 1989
- No. of pages (eBook): 289
- Imprint: Academic Press
- Language: English
- eBook ISBN: 9780080507323
WM
William Menke
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.
Affiliations and expertise
Professor of Earth and Environmental Sciences ,Columbia UniversityRead Geophysical Data Analysis on ScienceDirect