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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. Applied Inverse Problems : Select Contributions from the First Annual Workshop on Inverse Problems
edited by Larisa Beilina
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 48
オンライン: http://dx.doi.org/10.1007/978-1-4614-7816-4
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Theoretical and Numerical Study of Iteratively Truncated Newton's Algorithm, Anatoly B. Bakushinsky, Alexandra B. Smirnova, and Hui Liu
Approximate Global Convergence in Imaging of Land Mines from Backscattered Data, L. Beilina and M. V. Klibanov
Time-adaptive FEM for Distributed Parameter Identification in Biological Models, L. Beilina and I.Gainova
Adaptive finite element method in reconstruction of dielectrics from backscattered data, L. Beilina, M. P. Hatlo Andresen, H. E. Krogstad
A Posteriori Error Estimates for Fredholm Integral Equations of the First Kind, N. Koshev and L. Beilina
Inverse Problems in Geomechanics: Diagnostics and Prediction of the State of Rock Masses with Estimating Their Properties, L. A. Nazarova and L.A. Nazarov
 A Globally Convergent Numerical Method for Coefficient Inverse Problems with Time-Dependent Data, Aubrey Rhoden, Natee Patong, Yueming Liu, Jianzhong Su and Hanli Liu
Adaptive FEM with relaxation for a hyperbolic coefficient inverse problem, L. Beilina and M. V. Klibanov
Error Estimation in Ill-posed Problems in Special Cases, A. G. Yagola, Y. M. Korolev
Stable numerical methods of approaching quantum mechanical molecular force fields to experimental data, G. Kuramshina, I. Kochikov and A. Yagola
On the Alternating Method for Cauchy Problems and its Finite Element Discretisation, Thouraya N. Baranger B. Tomas Johansson and Romain Rischette
Theoretical and Numerical Study of Iteratively Truncated Newton's Algorithm, Anatoly B. Bakushinsky, Alexandra B. Smirnova, and Hui Liu
Approximate Global Convergence in Imaging of Land Mines from Backscattered Data, L. Beilina and M. V. Klibanov
Time-adaptive FEM for Distributed Parameter Identification in Biological Models, L. Beilina and I.Gainova
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3. Inverse Problems and Large-Scale Computations
edited by Larisa Beilina, Yury V. Shestopalov
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2013
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 52
オンライン: http://dx.doi.org/10.1007/978-3-319-00660-4
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4. 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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5. 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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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)