Title Statements
- Full title :Core-chasing algorithms for the Eigenvalue problem / Jared L. Aurentz, Thomas Mach, Leonardo Robol, Raf Vandebril, and David S. Watkins.
Summary
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. While Francis's original procedure chases bulges, the new version chases core transformations, which allows the development of fast algorithms for eigenvalue problems with a variety of special structures. This also leads to a fast and backward stable algorithm for computing the roots of a polynomial by solving the companion matrix eigenvalue problem. The authors received a SIAM Outstanding Paper prize for this work.
Read More ↓Edition Statements
- Publication Date:[2018].
Publication Statements
- Publisher(s):Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)
- Place of Publication:Philadelphia, Pennsylvania
- Language:eng
- Publication Date:[2018].
Notes
In SIAM e-books.
The Physical Object
- Description:1 ressource en ligne (x, 147 pages).
Edition Identifiers
- ISBN:9781611975345, 1611975344
- oclc:on1114148260
- LC Classification:QA193
- Dewey Decimal:512.9/436
Table of Contents
Core transformations -- Francis's algorithm -- Francis's algorithm as a core-chasing algorithm -- Some special structures -- Generalized and matrix polynomial Eigenvalue problems -- Beyond Upper Hessenberg Form.
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