Larisa Beilina
Books
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L. Beilina, E. Karchevskii, M. Karchevskii.
Numerical Linear Algebra: theory and applications, Springer, 2017.
- L. Beilina and M. V. Klibanov. Approximate global convergence and adaptivity for Coefficient Inverse Problems, Springer, New York, 2012
- Applied Inverse Problems Series: Springer Proceedings in Mathematics & Statistics Vol. 48, Beilina, Larisa (Ed.), DOI 10.1007/978-1-4614-7816-4, 2013
- Inverse Problems and Large-Scale Computations, Series: Springer Proceedings in Mathematics & Statistics, Vol. 52, Beilina, Larisa; Shestopalov, Yury V. (Eds.), DOI: 10.1007/978-3-319-00660-4, 2013
- Inverse Problems and Applications, Series: Springer Proceedings in Mathematics & Statistics, Vol. 120, Beilina, Larisa (Ed.), ISBN 978-3-319-12499-5, 2015
Supervision of students
PhD students
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Eric Lindström 2022 - present
John Bondestam Malmberg 2012- 2017
Master students (supervisor)
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Filip Dahlen (2023)
Joel Harf Abili, Marco Cuskic (2022)
Adam Yacine Smaili (2022)
Rebecca Gedda (2021)
Themis Mouliakos (2019)
Martin Eriksson (2017)
Carl Persson (2016)
Samar Hosseinzadegan (2015)
Available PhD/PostDoc positions
Please, follow this site in the next year to look available PhD/PostDoc positions in the field of CIPs.
Research Projects
Current projects
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Efficient algorithms for microwave imaging based on a new non-local optimization approach supported by the Swedish Research Council
Previously I was the head of the following projects:
- Adaptive Finite Element Methods for the solutions of Inverse Problems; supported by the Swedish Institute, Visby Program.
- Global convergence and adaptive finite element methods for the solution of Coefficient Inverse Problems for Maxwell equations; supported by the Swedish Research Council
- WavES supported by the Swedish Institute and by the Swedish Research Council