John Bondestam Malmberg

Visar 13 publikationer

2018

An adaptive finite element method in quantitative reconstruction of small inclusions from limited observations

John Bondestam Malmberg, Larisa Beilina
Applied Mathematics and Information Sciences. Vol. 12 (1), p. 1-19
Artikel i vetenskaplig tidskrift
2017

Iterative regularization and adaptivity for an electromagnetic coefficient inverse problem

John Bondestam Malmberg, Larisa Beilina
AIP Conference Proceedings. Vol. 1863
Paper i proceeding
2016

Adaptive finite element method for the solution of electromagnetic inverse problem using limited observations

John Bondestam Malmberg, Larisa Beilina
Proceedings of the 2016 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016. Cairns; Australia; 19-23 September 2016, p. 424-427
Paper i proceeding
2015

Methods of quantitative reconstruction of shapes and refractive indices from experimental data

Larisa Beilina, Nguyen Trung Thành, Michael V. Klibanov et al
Inverse Problems and Applications; (papers from: 3rd Annual Workshop on Inverse Problems, 2013; Stockholm; Sweden; 2 - 6 May 2013); (Proceedings in Mathematics & Statistics). Vol. 120, p. 13-41
Paper i proceeding
2015

A Two-stage Numerical Procedure for an Inverse Scattering Problem

John Bondestam Malmberg
Licentiatavhandling
2015

Globally convergent and adaptive finite element methods in imaging of buried objects from experimental backscattering radar measurements

Larisa Beilina, Nguyen Trung Thanh, M.V. Klibanov et al
Journal of Computational and Applied Mathematics. Vol. 289, p. 371-391
Artikel i vetenskaplig tidskrift
2015

A posteriori error estimate in the lagrangian setting for an inverse problem based on a new formulation of Maxwell’s system

John Bondestam Malmberg
Springer Proceedings in Mathematics and Statistics: 3rd Annual Workshop on Inverse Problems, 2013, Stockholm, Sweden, 2-6 May 2013. Vol. 120, p. 43-53
Paper i proceeding
2014

Reconstruction of shapes and refractive indices from backscattering experimental data using the adaptivity

Larisa Beilina, Nguyen Trung Thanh, Michael V. Klibanov et al
Inverse Problems. Vol. 30 (10), p. Art. no. 105007-
Artikel i vetenskaplig tidskrift
2013

Approximate globally convergent algorithm with applications in electrical prospecting

John Bondestam Malmberg, Larisa Beilina
Inverse Problems and Large-Scale Computations, Springer Proceedings in Mathematics & Statistics. Larisa Beilina, Yury V. Shestopalov (Eds.). Vol. 52, p. 29-40
Paper i proceeding

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