Inverse Problems: Basics, Theory and Applications in Geophysics

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.

1124918215
Inverse Problems: Basics, Theory and Applications in Geophysics

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.

48.99 In Stock
Inverse Problems: Basics, Theory and Applications in Geophysics

Inverse Problems: Basics, Theory and Applications in Geophysics

by Mathias Richter
Inverse Problems: Basics, Theory and Applications in Geophysics

Inverse Problems: Basics, Theory and Applications in Geophysics

by Mathias Richter

eBook1st ed. 2016 (1st ed. 2016)

$48.99  $64.99 Save 25% Current price is $48.99, Original price is $64.99. You Save 25%.

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Overview

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.


Product Details

ISBN-13: 9783319483849
Publisher: Birkhäuser
Publication date: 11/24/2016
Series: Lecture Notes in Geosystems Mathematics and Computing
Sold by: Barnes & Noble
Format: eBook
File size: 14 MB
Note: This product may take a few minutes to download.

About the Author

Matthias Richter is Professor of Mathematics at Universität der Bundeswehr München, Faculty of Electrical Engineering and Information Technology. He has conducted industrial research with Siemens and Infineon Technologies for fourteen years.

Table of Contents

1.Characterization of Inverse Problems.- 2.Discretization of Inverse Problems.- 3.Regularization of Linear Inverse Problems.- 4.Regularization of Nonlinear Inverse Problems.- Appendix: A.Results from Linear Algebra.- B.Function Spaces.- C.The Fourier Transform.- D.Proofs of Theorems from Chapter 3.

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