eBook - Computation, Optimization, and Machine Learning in Seismology
Available Exclusively as an eBook | Part of the AI eBook Collection | Only for Institutional Purchase | Publication Year: 2026
Description
This textbook covers computational seismology, focusing on seismic wave theory, optimization, and machine learning for interpreting seismic data. It includes mathematical foundations, wave propagation, data processing, model optimization, AI methods, and applications in earthquakes and exploration seismology, with exercises for practical understanding.
Table of Contents
1 Introduction to Key Concepts in Seismic Inversion and Elastic Wave Theory
2 Mathematical Background
3 Fundamentals of the Linearized Elastic Wave Theory
4 Computation of Synthetic Seismograms in Inhomogeneous Medium: Approximate (Partial) Solutions
5 Computation of Synthetic Seismograms in Inhomogeneous Medium: Exact Solutions
6 Optimization of Functions
7 Local Optimization Methods in Seismology
8 Global Optimization Methods in Seismology
9 Artificial Intelligence for Seismic Inverse Problems
10 The Future of Seismic Inversion and Machine Learning