John Bondestam Malmberg

Publications (11)
Projects (0)

Showing 11 publications

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

Journal article

2017

Preface for the session "recent Progress in Electromagnetic Field Theory and New Trends in Inverse Problems"

Larisa Beilina, John Bondestam Malmberg, M. Cristofol et al

AIP Conference Proceedings. Vol. 1863

Other conference contribution

2017

Iterative regularization and adaptivity for an electromagnetic coefficient inverse problem

John Bondestam Malmberg, Larisa Beilina

AIP Conference Proceedings. Vol. 1863

Paper in 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 in proceeding

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. Vol. 120, p. 43-53

Paper in proceeding

2015

A Two-stage Numerical Procedure for an Inverse Scattering Problem

John Bondestam Malmberg

Licentiate thesis

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

Journal article

2015

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

Larisa Beilina, Nguyen Trung Thành, Michael V. Klibanov et al

Springer Proceedings in Mathematics and Statistics. Vol. 120, p. 13-41

Paper in 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-

Journal article

2014

Numerical studies of an adaptive finite element method applied to the reconstruction of shapes of buried objects from experimental data

Larisa Beilina, Nguyen Trung Thành, Michael V. Klibanov et al

Preprint

2013

Approximate globally convergent algorithm with applications in electrical prospecting

John Bondestam Malmberg, Larisa Beilina

Springer Proceedings in Mathematics and Statistics. Vol. 52, p. 29-40

Paper in proceeding

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