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Mathematical and Numerical Approaches for Multi-Wave Inverse Problems
CIRM, Marseille, France, April 1-5, 2019
Langbeschreibung
This proceedings volume gathers peer-reviewed, selected papers presented at the "Mathematical and Numerical Approaches for Multi-Wave Inverse Problems" conference at the Centre Internacional de Rencontres Mathématiques (CIRM) in Marseille, France, in April 2019. It brings the latest research into new, reliable theoretical approaches and numerical techniques for solving nonlinear and inverse problems arising in multi-wave and hybrid systems.
Inhaltsverzeichnis
Thermoacoustic Applications (Patch et al.).- On the Transport Method for Hybrid Inverse Problems (Chung et al.).- Stable Determination of an Inclusion in a Layered Medium with Special Anisotropy (Di Cristo).- Convergence of stabilized P1 finite element scheme for time harmonic Maxwell's equations (Asadzadeh et al.).- Regularized Linear Inversion with Randomized Singular Value Decomposition (Ito et al.).- Parameter selection in dynamic contrast-enhanced magnetic resonance tomography (Niinimaki et al.).- Convergence of explicit P1 finite-element solutions to Maxwell's equations (Beilina et al.).- Reconstructing the Optical Parameters of a Layered Medium with Optical Coherence Elastography (Elbau et al.).- The finite element method and balancing principle for magnetic resonance imaging (Beilina et al.).
Larisa Beilina is a Professor of Applied Mathematics at the University of Gothenburg, Sweden. She holds a PhD in Mathematics (2003) from Chalmers University of Technology, and has co-authored and co-edited several books on inverse problems and related fields, including "Inverse Problems and Applications" (ISBN 978-3-319-12498-8), published by Springer. Her main research achievements are in the solution of coefficient inverse problems using an adaptive finite element method for wave propagation and electromagnetics.
ISBN-13:
9783030486341
Veröffentl:
2020
Seiten:
142
Autor:
Larisa Beilina
Serie:
328, Springer Proceedings in Mathematics & Statistics
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
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