Eigenvalue Problems: Algorithms, Software and Applications in Petascale Computing
EPASA 2015, Tsukuba, Japan, September 2015
Nonfiction, Computers, Advanced Computing, Computer Science, Application Software, Science & Nature, Science
| Author: | ISBN: | 9783319624266 | |
| Publisher: | Springer International Publishing | Publication: | January 3, 2018 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9783319624266 |
| Publisher: | Springer International Publishing |
| Publication: | January 3, 2018 |
| Imprint: | Springer |
| Language: | English |
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.
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.
