Geophysical Data Analysis: Discrete Inverse Theory
Author:   William Menke (Professor of Earth and Environmental Sciences ,Columbia University)
Publisher:   Elsevier Science Publishing Co Inc
Edition:   4th edition
ISBN:  

9780128135556


Pages:   352
Publication Date:   12 April 2018
Replaced By:   9780443137945
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Geophysical Data Analysis: Discrete Inverse Theory


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Author:   William Menke (Professor of Earth and Environmental Sciences ,Columbia University)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Edition:   4th edition
Weight:   0.700kg
ISBN:  

9780128135556


ISBN 10:   0128135557
Pages:   352
Publication Date:   12 April 2018
Audience:   College/higher education ,  Tertiary & Higher Education
Replaced By:   9780443137945
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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 Methods6. 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

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Author Information

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.

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