Sinossi
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.
This book will be of interest to researchers in numerical linear algebra and their students.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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Core-Chasing Algorithms for the Eigenvalue Problem (Fundamentals of Algorithms)
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SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975336
ISBN 13: 9781611975338
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Condizione: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading! Codice articolo STM.BDC
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Core-Chasing Algorithms for the Eigenvalue Problem (Fundamentals of Algorithms)
Editore:
SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975336
ISBN 13: 9781611975338
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Da: Scissortail, Oklahoma City, OK, U.S.A.
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Condizione: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading! Codice articolo STM.BDH
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Core-Chasing Algorithms For The Eigenvalue Problem
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ISBN 13: 9781611975338
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Paperback. Condizione: New. 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.This book will be of interest to researchers in numerical linear algebra and their students. Codice articolo LU-9781611975338
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Core-Chasing Algorithms For The Eigenvalue Problem
Editore:
SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975336
ISBN 13: 9781611975338
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Core-Chasing Algorithms For The Eigenvalue Problem
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SIAM - Society for Industrial and Applied Mathematics, 2018
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ISBN 13: 9781611975338
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Core-Chasing Algorithms for the Eigenvalue Problem (Paperback)
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Paperback. Condizione: new. Paperback. Eigenvalue computations are ubiquitous in science and engineering. John Franciss 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 Franciss 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.This book will be of interest to researchers in numerical linear algebra and their students. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781611975338
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