Table of contents
About this book
Introduction
The book’s content, especially in the Introduction and Part I, is selfcontained and is intended to also be accessible for beginning graduate students, whose mathematical background includes only basic courses in advanced calculus, PDEs and functional analysis. Further, the book can be used as the backbone for a lecture course on inverse and illposed problems for partial differential equations.
In turn, the second part of the book consists of six nearlyindependent chapters. The choice of these chapters was motivated by the fact that the inverse coefficient and source problems considered here are based on the basic and commonly used mathematical models governed by PDEs. These chapters describe not only these inverse problems, but also main inversion methods and techniques. Since the most distinctive features of any inverse problems related to PDEs are hidden in the properties of the corresponding solutions to direct problems, special attention is paid to the investigation of these properties.
Keywords
Bibliographic information
 Book Title Introduction to Inverse Problems for Differential Equations

Authors
Alemdar Hasanov Hasanoğlu
Vladimir G. Romanov
 DOI https://doi.org/10.1007/9783319627977
 Copyright Information Springer International Publishing AG 2017
 Publisher Name Springer, Cham
 eBook Packages Mathematics and Statistics Mathematics and Statistics (R0)
 Hardcover ISBN 9783319627960
 Softcover ISBN 9783319873992
 eBook ISBN 9783319627977
 Edition Number 1
 Number of Pages XIII, 261
 Number of Illustrations 4 b/w illustrations, 0 illustrations in colour

Topics
Partial Differential Equations
Computational Science and Engineering
Numerical Analysis
Mathematics of Computing
Theoretical, Mathematical and Computational Physics
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 Energy, Utilities & Environment
 Finance, Business & Banking
Reviews
“This book is an important contribution to the theory of inverse problems. It gives a complete picture of inverse problems and their applications. … It is a good research monograph for people working on inverse problems and related issues; a useful stateoftheart reference guide for researchers and students; and a fine textbook for graduate students in mathematics and engineering.” (Srinivasan Natesan, Computing Reviews, September, 2018)