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Eigenvalue Problems: Algorithms, Software and Applications in Petascale Computing EPASA 2015, Tsukuba, Japan, September 2015 /

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...

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Corporate Author: SpringerLink (Online service)
Other Authors: Sakurai, Tetsuya. (Editor, http://id.loc.gov/vocabulary/relators/edt), Zhang, Shao-Liang. (Editor, http://id.loc.gov/vocabulary/relators/edt), Imamura, Toshiyuki. (Editor, http://id.loc.gov/vocabulary/relators/edt), Yamamoto, Yusaku. (Editor, http://id.loc.gov/vocabulary/relators/edt), Kuramashi, Yoshinobu. (Editor, http://id.loc.gov/vocabulary/relators/edt), Hoshi, Takeo. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Lecture Notes in Computational Science and Engineering, 117
Subjects:
Computer mathematics.
Computer software.
Numerical analysis.
Physics.
Algorithms.
Computational Science and Engineering.
Mathematical Software.
Numerical Analysis.
Numerical and Computational Physics, Simulation.
Online Access:https://doi.org/10.1007/978-3-319-62426-6
Summary: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.
Physical Description:X, 313 p. 95 illus., 43 illus. in color. online resource.
ISBN:9783319624266
ISSN:1439-7358 ;

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