Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems

Larisa Beilina () and Michael Victor Klibanov ()
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Larisa Beilina: Chalmers University of Technology, Gothenburg University, Department of Mathematical Sciences
Michael Victor Klibanov: University of North Carolina

in Springer Books from Springer

Date: 2012
Edition: 2012
ISBN: 978-1-4419-7805-9
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Chapters in this book:

Ch Chapter 1 Two Central Questions of This Book and an Introduction to the Theories of Ill-posed and Coefficient Inverse Problems

Larisa Beilina and Michael Victor Klibanov

Ch Chapter 2 Approximately Globally Convergent Numerical Method

Larisa Beilina and Michael Victor Klibanov

Ch Chapter 3 Numerical Implementation of the Approximately Globally Convergent Method

Larisa Beilina and Michael Victor Klibanov

Ch Chapter 4 The Adaptive Finite Element Technique and Its Synthesis with the Approximately Globally Convergent Numerical Method

Larisa Beilina and Michael Victor Klibanov

Ch Chapter 5 Blind Experimental Data

Larisa Beilina and Michael Victor Klibanov

Ch Chapter 6 Backscattering Data

Larisa Beilina and Michael Victor Klibanov

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DOI: 10.1007/978-1-4419-7805-9

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