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Core-Chasing Algorithms for the Eigenvalue Problem

Language EnglishEnglish
Book Paperback
Publishers Society for Industrial & Applied Mathematics,U.S., July 2018
Eigenvalue computations are ubiquitous in science and engineering. John Francis's implicitly shifted... Full description
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Eigenvalue computations are ubiquitous in science and engineering. John Francis's implicitly shifted QR algorithm has been the method of choice for small to medium sized eigenvalue problems since its invention in 1959. This book presents a new view of this classical algorithm.

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About the book

Full name Core-Chasing Algorithms for the Eigenvalue Problem
Author Jared L. Aurentz, Thomas Mach, Leonardo Robol, Raf Vandebril, David S. Watkins
Language English
Binding Book - Paperback
Date of issue 2018
Number of pages 148
EAN 9781611975338
ISBN 9781611975338
Libristo code 19659814
Publishers Society for Industrial & Applied Mathematics,U.S.
Weight 346
Dimensions 259 x 179 x 16

Categories

Mathematics & Science > Mathematics > Applied mathematics
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
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