Editors:
- Presents new analytical developments and new numerical methods for solutions of Inverse Problems
- Contains articles from top researchers in the field
- Helps stimulate further research in the area?
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 52)
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Table of contents (13 papers)
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Front Matter
About this book
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.
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The contributions in this volume are reflective of these themes and will be beneficial to researchers in this area.
Editors and Affiliations
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Department of Mathematical Sciences, Chalmers University of Technology Gothenburg University, Gothenburg, Sweden
Larisa Beilina
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Karlstad University, Karlstad, Sweden
Yury V. Shestopalov
Bibliographic Information
Book Title: Inverse Problems and Large-Scale Computations
Editors: Larisa Beilina, Yury V. Shestopalov
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-00660-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2013
Hardcover ISBN: 978-3-319-00659-8Published: 15 October 2013
Softcover ISBN: 978-3-319-34512-3Published: 27 August 2016
eBook ISBN: 978-3-319-00660-4Published: 01 October 2013
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: X, 217
Number of Illustrations: 26 b/w illustrations, 30 illustrations in colour
Topics: Computational Science and Engineering, Solid Mechanics, Analysis