Geophysical Data Analysis
eBook - ePub

Geophysical Data Analysis

Discrete Inverse Theory

  1. 352 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Geophysical Data Analysis

Discrete Inverse Theory

About this book

Geophysical Data Analysis: Diverse Inverse Theory, Fourth Edition is a revised and expanded introduction to inverse theory and tomography as it is practiced by geophysicists. It demonstrates the methods needed to analyze a broad spectrum of geophysical datasets, with special attention to those methods that generate images of the earth. Data analysis can be a mathematically complex activity, but the treatment in this volume is carefully designed to emphasize those mathematical techniques that readers will find the most familiar and to systematically introduce less-familiar ones.Using problems and case studies, along with MATLAB computer code and summaries of methods, the book provides data scientists and engineers in geophysics with the tools necessary to understand and apply mathematical techniques and inverse theory.- Includes material on probability, including Bayesian influence, probability density function and metropolis algorithm- Offers detailed discussion of the application of inverse theory to tectonic, gravitational and geomagnetic studies- Contains numerous examples, color figures and end-of-chapter homework problems to help readers explore and further understand presented ideas- Includes MATLAB examples and problem sets- Updated and refined throughout to bring the text in line with current understanding and improved examples and case studies- Expanded sections to cover material, such as second-derivation smoothing and chi-squared tests not covered in the previous edition

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Yes, you can access Geophysical Data Analysis by William Menke in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geology & Earth Sciences. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Preface
  6. Introduction
  7. Chapter 1: Describing Inverse Problems
  8. Chapter 2: Some Comments on Probability Theory
  9. Chapter 3: Solution of the Linear, Gaussian Inverse Problem, Viewpoint 1: The Length Method
  10. Chapter 4: Solution of the Linear, Gaussian Inverse Problem, Viewpoint 2: Generalized Inverses
  11. Chapter 5: Solution of the Linear, Gaussian Inverse Problem, Viewpoint 3: Maximum Likelihood Methods
  12. Chapter 6: Nonuniqueness and Localized Averages
  13. Chapter 7: Applications of Vector Spaces
  14. Chapter 8: Linear Inverse Problems and Non-Gaussian Statistics
  15. Chapter 9: Nonlinear Inverse Problems
  16. Chapter 10: Factor Analysis
  17. Chapter 11: Continuous Inverse Theory and Tomography
  18. Chapter 12: Sample Inverse Problems
  19. Chapter 13: Applications of Inverse Theory to Solid Earth Geophysics
  20. Chapter 14: Appendices
  21. Index