Geophysical Data Analysis and Inverse Theory with MATLAB® and Python
eBook - ePub
Available until 21 Sep |Learn more

Geophysical Data Analysis and Inverse Theory with MATLAB® and Python

  1. 400 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub
Available until 21 Sep |Learn more

Geophysical Data Analysis and Inverse Theory with MATLAB® and Python

Book details
Table of contents
Citations

About This Book

Geophysical Data Analysis and Inverse Theory with MATLAB or Python, Fifth Edition is a revised and expanded introduction to inverse theory and tomography as it is practiced by geophysicists. The book demonstrates the methods needed to analyze a broad spectrum of geophysical datasets, with special attention given 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. A series of "crib sheets" offer step-by-step summaries of methods presented. Utilizing problems and case studies, along with MATLAB and Python computer code and summaries of methods, the book provides professional geophysicists, students, 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 discussions of the application of inverse theory to seismological, gravitational, and tectonic studies
  • Provides numerous examples, color figures, and end-of-chapter problems to help readers explore and further understand the presented ideas
  • Includes both MATLAB and Python examples and problem sets

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

Information

Publisher
Academic Press
Year
2024
ISBN
9780443137952
Edition
5
Topic
Physical Sciences
Subtopic
Geophysics

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Preface
  7. Chapter 1 Getting started with MATLAB® or Python
  8. Chapter 2 Describing inverse problems
  9. Chapter 3 Using probability to describe random variation
  10. Chapter 4 Solution of the linear, Normal inverse problem, viewpoint 1: The length method
  11. Chapter 5 Solution of the linear, Normal inverse problem, viewpoint 2: Generalized inverses
  12. Chapter 6 Solution of the linear, Normal inverse problem, viewpoint 3: Maximum likelihood methods
  13. Chapter 7 Data assimilation methods including Gaussian process regression and Kalman filtering
  14. Chapter 8 Nonuniqueness and localized averages
  15. Chapter 9 Applications of vector spaces
  16. Chapter 10 Linear inverse problems with non-Normal statistics
  17. Chapter 11 Nonlinear inverse problems
  18. Chapter 12 Monte Carlo methods
  19. Chapter 13 Factor analysis
  20. Chapter 14 Continuous inverse theory and tomography
  21. Chapter 15 Sample inverse problems
  22. Chapter 16 Applications of inverse theory to solid earth geophysics
  23. Chapter 17 Important algorithms and method summaries
  24. Index