Inverse Problems and Large-Scale Computations
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Inverse Problems and Large-Scale Computations

 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9783319006604
Veröffentl:
2013
Einband:
eBook
Seiten:
217
Autor:
Larisa Beilina
Serie:
52, Springer Proceedings in Mathematics & Statistics
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

This volume is a result of two international workshops, namely the Second Annual Workshop on Inverse Problems and the Workshop on Large-Scale Modeling, held jointly in Sunne, Sweden from May 1-6 2012. The subject of the inverse problems workshop was to present new analytical developments and new numerical methods for solutions of inverse problems. The objective of the large-scale modeling workshop was to identify large-scale problems arising in various fields of science and technology and covering all possible applications, with a particular focus on urgent problems in theoretical and applied electromagnetics. The workshops brought together scholars, professionals, mathematicians, and programmers and specialists working in large-scale modeling problems. The contributions in this volume are reflective of these themes and will be beneficial to researchers in this area.

This volume is a result of two international workshops, namely the Second Annual Workshop on Inverse Problems and the Workshop on Large-Scale Modeling, held jointly in Sunne, Sweden from May 1-6 2012. The subject of the inverse problems workshop was to present new analytical developments and new numerical methods for solutions of inverse problems. The objective of the large-scale modeling workshop was to identify large-scale problems arising in various fields of science and technology and covering all possible applications, with a particular focus on urgent problems in theoretical and applied electromagnetics. The workshops brought together scholars, professionals, mathematicians, and programmers and specialists working in large-scale modeling problems.

 

The contributions in this volume are reflective of these themes and will be beneficial to researchers in this area.

M. Asadzadeh and L. Beilina.-V. P. Gubatenko.-J. Bondestam Malmberg and L. Beilina.-L. Angermann, V. Yatsyk et al.-.L. Angermann.-D. Valovik.-V. Trofimov, O. Matusevich, I. Shirokov, and M. Fedotov.-AP Smirnov et al.-A. Frolov and E. Kartchevskiy.-Y. Podlipenko and Y Shestopalov.-Y. Smirnov, Y. Shestopalov, and E. Derevyanchuk.-A. Samokhina and E. Trahtengerts.-V. Yatsyk.

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