This volume is a result of two international workshops, namely the Second Annual Workshop on Inverse Problems and the Workshop on Large-Scale Modeling,

the advertising body": YES Contacts: Annika Lang, +46 31 772 5356, annika.lang@chalmers.se Larisa Beilina, +46 31 772 3567, larisa.beilina@chalmers.se

Most frequent co-Author Larisa Beilina. Chalmers University of Technology and University of Gothenburg. Verified email at chalmers.se - Homepage. Coefficient Inverse Problems Adaptive Finite Element methods PDE Approximate global convergence. Articles Cited by. Title. Sort.

Larisa beilina

We welcome any additional information. If you have additional information or corrections regarding this mathematician, please use the update form.To submit students of this mathematician, please use the new data form, noting this mathematician's MGP ID of 86099 for the advisor ID. Beilina, Larisa (ed.) Illustrationer 9 Tables, black and white; 41 Illustrations, color; 3 Illustrations, black and white; X, 164 p. 44 i Dimensioner 234 x 156 x 10 mm Vikt 254 g Antal komponenter 1 Komponenter 1 Paperback / softback ISBN 9783319349398 Larisa Beilina is an Associate Professor in the Department of Mathematical Sciences at Chalmers University of Technology and Gothenburg University. Evgenii Karchevskii and Mikhail Karchevskii are both professors at the Institute of Computer Mathematics and Information Technologies at Kazan Federal University, Russia. Larisa Beilina. Search for Larisa Beilina's work. Search Search.

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Associate Professor Larisa Beilina’s work on solving coefficient inverse problems develops a new mathematical idea which can lead to direct practical developments. Here, she discusses some of the greatest challenges faced during her project Solving the unsolvable To begin, what are coefficient inverse problems (CIPs), and what challenges are

Methods of Quantitative Reconstruction of Shapes and Refractive Indices from Experimental data, volume 120 of Springer Proceedings in Mathematics and Statistics, pages 13{41, Springer, 2015. John Bondestam Malmberg, and Larisa Beilina. Reconstruction of Larisa Beilina, Nguyen Trung Thành, Michael V. Klibanov and John Bondestam Malmberg.

Numerical Linear Algebra: Theory and Applications by Larisa Beilina; Evgenii Karchevskii; Mikhail Karchevskii and Publisher Springer. Save up to 80% by choosing the eTextbook option for ISBN: 9783319573045, 3319573047. The print version of this textbook is ISBN: 9783319573045, 3319573047.

569-581, 2005. 6. L. About Larisa Beilina Adaptive finite element method for hyperbolic CIPs was developed in my PhD thesis in 2003 and the globally convergent method was developed together with prof. M.V.Klibanov from University of North Carolina at Charlotte, USA in 2008.

Introduction to the basic electromagnetic theory. Maxwell's and Helmholz equations. Larisa Beilinas forskning handlar om att lösa inversa problem. Sådan kunskap kan användas för att identifiera olika objekt som inte syns på ytan, till exem-pel att hitta olja under jord med hjälp av mätningar från markytan eller hitta mi-nor med hjälp av radar. Larisa Beilina kommer från Jelgava i Lettland och genomförde sin masterut- Larisa Beilina, Evgenii Karchevskii, Mikhail Karchevskii. Pages 375-405. Introduction to Iterative Methods for the Solution of Linear Systems.
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Larisa Beilinas forskning handlar om att lösa inversa problem. Sådan kunskap kan användas för att identifiera olika objekt som inte syns på ytan, till exem-pel att hitta olja under jord med hjälp av mätningar från markytan eller hitta mi-nor med hjälp av radar.

Larisa Beilina, Marte P. Hatlo, Harald E. Krogstad May 20, 2008 In this paper we derive an a posteriori error estimate and present an adaptive algorithm for an inverse electromagnetic scattering problem.
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About Larisa Beilina Adaptive finite element method for hyperbolic CIPs was developed in my PhD thesis in 2003 and the globally convergent method was developed together with prof. M.V.Klibanov from University of North Carolina at Charlotte, USA in 2008.

28 Hess, Berk,KTH. 29 Markstrom Föreläsare: Larisa Beilina, Chalmers/University of Gothenburg and Irina Gainova, Sobolev Institute of Math. Plats: Seminar Hall Kuskvillan, 21, 2018-03661, Beilina, Larisa, Projektbidrag, NT-1, Effektiva algoritmer för avbildning med mikrovågor, baserade på en ny icke-lokalt optimeringsmetod Köpare: Ilia Beiline.