Overview
- Provides state-of-the-art and cross-cutting (applied math, HPC, application etc.) researches on eigenvalue problems
- Includes the results on novel numerical libraries for solving eigenvalue problems
- Includes the results by using large-scale parallel computers such as the K computer in Japan
Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 117)
Included in the following conference series:
Conference proceedings info: EPASA 2015.
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About this book
This book provides state-of-the-art and interdisciplinary topics on solving matrix eigenvalue problems, particularly by using recent petascale and upcoming post-petascale supercomputers. It gathers selected topics presented at the International Workshops on Eigenvalue Problems: Algorithms; Software and Applications, in Petascale Computing (EPASA2014 and EPASA2015), which brought together leading researchers working on the numerical solution of matrix eigenvalue problems to discuss and exchange ideas – and in so doing helped to create a community for researchers in eigenvalue problems. The topics presented in the book, including novel numerical algorithms, high-performance implementation techniques, software developments and sample applications, will contribute to various fields that involve solving large-scale eigenvalue problems.
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Table of contents (18 papers)
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Eigenvalue Problems: Algorithms, Software and Applications in Petascale Computing
Editors and Affiliations
Bibliographic Information
Book Title: Eigenvalue Problems: Algorithms, Software and Applications in Petascale Computing
Book Subtitle: EPASA 2015, Tsukuba, Japan, September 2015
Editors: Tetsuya Sakurai, Shao-Liang Zhang, Toshiyuki Imamura, Yusaku Yamamoto, Yoshinobu Kuramashi, Takeo Hoshi
Series Title: Lecture Notes in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-319-62426-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-62424-2Published: 04 January 2018
Softcover ISBN: 978-3-319-87309-1Published: 04 June 2019
eBook ISBN: 978-3-319-62426-6Published: 03 January 2018
Series ISSN: 1439-7358
Series E-ISSN: 2197-7100
Edition Number: 1
Number of Pages: X, 313
Number of Illustrations: 52 b/w illustrations, 43 illustrations in colour
Topics: Computational Science and Engineering, Mathematical Software, Numerical Analysis, Numerical and Computational Physics, Simulation, Algorithms