Buch, Englisch, Band 328, 142 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 401 g
CIRM, Marseille, France, April 1-5, 2019
Buch, Englisch, Band 328, 142 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 401 g
Reihe: Springer Proceedings in Mathematics & Statistics
ISBN: 978-3-030-48633-4
Verlag: Springer International Publishing
Multi-wave inverse problems have a wide range of applications in acoustics, electromagnetics, optics, medical imaging, and geophysics, to name but a few. In turn, it is well known that inverse problems are both nonlinear and ill-posed: two factors that pose major challenges for the development of new numerical methods for solving these problems, which are discussed in detail.
These papers will be of interest to all researchers and graduate students working in the fields of nonlinear and inverse problems and its applications.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Mathematische Analysis Funktionalanalysis
- Mathematik | Informatik Mathematik Mathematische Analysis Differentialrechnungen und -gleichungen
- Mathematik | Informatik Mathematik Mathematische Analysis Funktionentheorie, Komplexe Analysis
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
Weitere Infos & Material
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.).