Geophysical data analysis and inverse theory with MATLAB® and Python /

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 at...

Full description

Bibliographic Details
Main Author:	Menke, William (Author)
Corporate Author:	ScienceDirect (Online service)
Format:	eBook
Language:	English
Published:	London, United Kingdom : Academic Press is an imprint of Elsevier, 2024.
Edition:	Fifth edition.
Subjects:	MATLAB. Geophysics > Measurement. Oceanography > Measurement. Inverse problems (Differential equations) > Numerical solutions. Python (Computer program language) Problèmes inverses (Équations différentielles) > Solutions numériques. Python (Langage de programmation) Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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