This graduate-level textbook introduces the reader to the area of inverse problems, vital to many fields including geophysical exploration, system identification, nondestructive testing, and ultrasonic tomography. It aims to expose the basic notions and difficulties encountered with ill-posed problems, analyzing basic properties of regularization methods for ill-posed problems via several simple analytical and numerical examples. The book also presents three special nonlinear inverse problems in detail: the inverse spectral problem, the inverse problem of electrical impedance tomography (EIT), and the inverse scattering problem. The corresponding direct problems are studied with respect to existence, uniqueness, and continuous dependence on parameters. Ultimately, the text discusses theoretical results as well as numerical procedures for the inverse problems, including many exercises and illustrations to complement coursework in mathematics and engineering. This updated text includes a new chapter on the theory of nonlinear inverse problems in response to the field’s growing popularity, as well as a new section on the interior transmission eigenvalue problem which complements the Sturm-Liouville problem and which has received great attention since the previous edition was published.
Containing up-to-date methods, this book will provide readers with the tools necessary to compute regularized solutions of inverse problems.
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This book presents a systematic exposition of the main ideas and methods in treating inverse problems for PDEs arising in basic mathematical models, though it makes no claim to being exhaustive.
This book aims to remedy this state of affairs by supplying an accessible introduction, at a modest mathematical level, to the alluring field of inverse problems.
We should notice here that φ1(iγ, r) ∼ e2γr as r → ∞. This, when used in (4.23) and (4.21), shows that φ(iγ, r) ∼e−γr, as expected. The next simple case is described in §4.4.3. 4.4.3. Phase-Equivalent Potentials.
This is a graduate textbook on the principles of linear inverse problems, methods of their approximate solution, and practical application in imaging.
[2] G. Backus, F. Gilbert, Uniqueness in the inversion of inaccurate gross earth data, Philosophical Transactions of ... [4] L.J. Bain, M. Englehardt, Introduction to Probability and Mathematical Statistics, Brooks/Cole, Pacific Grove, ...
This book presents the theory of inverse spectral and scattering problems and of many other inverse problems for differential equations in an essentially self-contained way.
Provides a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems.
The description of uncertainties plays a central role in the theory, which is based on probability theory. This book proposes a general approach that is valid for linear as well as for nonlinear problems.