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1.

電子ブック
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1. Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems
by Larisa Beilina, Michael Victor Klibanov
出版情報: Boston, MA : Springer US, 2012
オンライン: http://dx.doi.org/10.1007/978-1-4419-7805-9
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2.

電子ブック
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2. Inverse Problems and Applications
edited by Larisa Beilina
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 120
オンライン: http://dx.doi.org/10.1007/978-3-319-12499-5
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M.Yu. Kokurin and A. Bakushinsky, Interatively regularized Gauss-Newton methods under random noise
L. Beilina, N.T. Thanh, M.V. Klibanov, and J.B. Malmberg, Methods of quantitative reconstruction of shapes and refractive indices from experimental data
J.B. Malmberg, A posteriori error estimate in the Lagrangian setting for an inverse problem based on a new formulation of Maxwell's system
E. Karchevskii, A. Spiridonov, and L. Beilina, Determination of permittivity from propagation constant measurements in optical fibers
L. Angermann, Yu.V. Shestopalov, and V.V. Yatsyk, Eigenmodes of linearised problems of scattering and generation of oscillations on cubically polarisable layers
S. Soltani, R. Andersson, and B. Andersson, Time resolution in transient kinetics
L. Beilina and A. Eriksson, Reconstruction of dielectric constants in a cylindrical waveguide
L. Beilina and I. Gainova, Time-adaptive FEM for distributed parameter identification in mathematical model of HIV infection with drug therapy
L. Beilina and E. Karchevskii, The layer-stripping algorithm for reconstruction of dielectrics in an optical fiber
L. Beilina, M. Cristofol, and K. Niinimaki, Simultaneous reconstruction of Maxwell's coefficients from backscattering data
M.Yu. Kokurin and A. Bakushinsky, Interatively regularized Gauss-Newton methods under random noise
L. Beilina, N.T. Thanh, M.V. Klibanov, and J.B. Malmberg, Methods of quantitative reconstruction of shapes and refractive indices from experimental data
J.B. Malmberg, A posteriori error estimate in the Lagrangian setting for an inverse problem based on a new formulation of Maxwell's system
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電子ブック
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3. Mathematical and Numerical Approaches for Multi-Wave Inverse Problems : CIRM, Marseille, France, April 1–5, 2019. 1st ed. 2020
edited by Larisa Beilina, Maïtine Bergounioux, Michel Cristofol, Anabela Da Silva, Amelie Litman
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 328
オンライン: https://doi.org/10.1007/978-3-030-48634-1
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目次情報: 続きを見る
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.)
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)