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...
Guardat en:
| Autor principal: | |
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| Format: | Electrònic eBook |
| Idioma: | anglès |
| Publicat: |
London, United Kingdom :
Academic Press is an imprint of Elsevier,
2024.
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| Edició: | Fifth edition. |
| Matèries: | |
| Accés en línia: | ScienceDirect |
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Taula de continguts:
- 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.