Overview
- Provides practical guidelines for actual numerical solution of concrete problems
- Offers many detailed examples of practical interest from geophysics
- Features mathematical theory on a level accessible for graduate students in engineering
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Geosystems Mathematics and Computing (LNGMC)
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Table of contents (4 chapters)
Keywords
About this book
The overall goal of the book is to provide access to the regularized solution of inverse problems relevant in geophysics without requiring more mathematical knowledge than is taught in undergraduate math courses for scientists and engineers. From abstract analysis only the concept of functions as vectors is needed. Function spaces are introduced informally in the course of the text, when needed. Additionally, a more detailed, but still condensed introduction is given in Appendix B.
A second goal is to elaborate the single steps to be taken when solving an inverse problem: discretization, regularization and practical solution of the regularized optimization problem. These steps are shown in detail for model problems from the fields of inverse gravimetry and seismic tomography.
The intended audience is mathematicians, physicists and engineers having a good working knowledge of linear algebra and analysis at the upper undergraduate level.
Authors and Affiliations
Bibliographic Information
Book Title: Inverse Problems
Book Subtitle: Basics, Theory and Applications in Geophysics
Authors: Mathias Richter
Series Title: Lecture Notes in Geosystems Mathematics and Computing
DOI: https://doi.org/10.1007/978-3-319-48384-9
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2016
eBook ISBN: 978-3-319-48384-9Published: 24 November 2016
Series ISSN: 2730-5996
Series E-ISSN: 2512-3211
Edition Number: 1
Number of Pages: XII, 240
Number of Illustrations: 20 b/w illustrations, 32 illustrations in colour
Topics: Numerical Analysis, Numerical and Computational Physics, Simulation, Geophysics/Geodesy