Geophysical Data Analysis and Inverse Theory with MATLAB® and Python

Geophysical Data Analysis and Inverse Theory with MATLAB® and Python
by: Menke (Author)
Publication Date: 1 Mar. 2024
Language:English
Print Length:342 pages
ISBN-10:0443137943
ISBN-13:9780443137945
Book Description
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 algorithmOffers detailed discussions of the application of inverse theory to seismological, gravitational, and tectonic studiesProvides numerous examples, color figures, and end-of-chapter problems to help readers explore and further understand the presented ideasIncludes both MATLAB and Python examples and problem sets
About the Author
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 algorithmOffers detailed discussions of the application of inverse theory to seismological, gravitational, and tectonic studiesProvides numerous examples, color figures, and end-of-chapter problems to help readers explore and further understand the presented ideasIncludes both MATLAB and Python examples and problem sets