04972nam 22007335 450 991048304840332120200703155041.03-030-48634-610.1007/978-3-030-48634-1(CKB)4100000011325703(MiAaPQ)EBC6270523(DE-He213)978-3-030-48634-1(PPN)248596470(EXLCZ)99410000001132570320200630d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMathematical and Numerical Approaches for Multi-Wave Inverse Problems CIRM, Marseille, France, April 1–5, 2019 /edited by Larisa Beilina, Maïtine Bergounioux, Michel Cristofol, Anabela Da Silva, Amelie Litman1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (147 pages)Springer Proceedings in Mathematics & Statistics,2194-1009 ;3283-030-48633-8 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.).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. 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.Springer Proceedings in Mathematics & Statistics,2194-1009 ;328Mathematical physicsMathematical modelsNumerical analysisDifference equationsFunctional equationsSpecial functionsMathematical Applications in the Physical Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M13120Mathematical Modeling and Industrial Mathematicshttps://scigraph.springernature.com/ontologies/product-market-codes/M14068Numerical Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/M14050Difference and Functional Equationshttps://scigraph.springernature.com/ontologies/product-market-codes/M12031Special Functionshttps://scigraph.springernature.com/ontologies/product-market-codes/M1221XMathematical physics.Mathematical models.Numerical analysis.Difference equations.Functional equations.Special functions.Mathematical Applications in the Physical Sciences.Mathematical Modeling and Industrial Mathematics.Numerical Analysis.Difference and Functional Equations.Special Functions.515.35Beilina Larisaedthttp://id.loc.gov/vocabulary/relators/edtBergounioux Maïtineedthttp://id.loc.gov/vocabulary/relators/edtCristofol Micheledthttp://id.loc.gov/vocabulary/relators/edtDa Silva Anabelaedthttp://id.loc.gov/vocabulary/relators/edtLitman Amelieedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910483048403321Mathematical and Numerical Approaches for Multi-Wave Inverse Problems2377960UNINA