Core Chasing Algorithms Eigenvalue Problem by Jared Aurentz (15 results)
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics 2018
- Softcover
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Condition: 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 ar…e 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.
Core-Chasing Algorithms for the Eigenvalue Problem
Jared L. Aurentz, Leonardo Robol, David S. Watkins, Thomas Mach, Raf Vandebril
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US 2018
- Softcover
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Paperback. Condition: 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.
Core-Chasing Algorithms For The Eigenvalue Problem
Aurentz, Jared L.;mach, Thomas;robol, Leonardo;vandebril, Raf;watkins, David S.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics 2018
- Softcover
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Core-Chasing Algorithms for the Eigenvalue Problem (eng)
Jared L. Aurentz (author), Thomas Mach (author), Leonardo Robol (author), Raf Vandebril (author) & David S. Watkins (author)
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics 2018
- Softcover
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Core-Chasing Algorithms For The Eigenvalue Problem
Aurentz, Jared L.;mach, Thomas;robol, Leonardo;vandebril, Raf;watkins, David S.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics 2018
- Softcover
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Language: English
Published by MP-SIA SIAM - Society for Industrial and Applied M 2018
- Softcover
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Core-Chasing Algorithms For The Eigenvalue Problem
Aurentz, Jared L.;mach, Thomas;robol, Leonardo;vandebril, Raf;watkins, David S.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics 2018
- Softcover
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Language: English
Published by Society for Industrial & Applied Mathematics,U.S., New York 2018
- Softcover
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Paperback. Condition: 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.
Core-Chasing Algorithms For The Eigenvalue Problem
Aurentz, Jared L. Mach, Thomas Robol, Leonardo Vandebril, Raf Watkins, David S.
Language: English
Published by Society For Industrial & Applied Mathematics,U.S. 2018
- Softcover
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Paperback. Condition: Brand New. 148 pages. 10.00x6.80x0.50 inches. In Stock.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics 2018
- Softcover
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Core-Chasing Algorithms For The Eigenvalue Problem
Aurentz, Jared L.;mach, Thomas;robol, Leonardo;vandebril, Raf;watkins, David S.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics 2018
- Softcover
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Language: English
Published by Society for Industrial & Applied Mathematics,U.S. 2018
- Softcover
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Language: English
Published by SIAM - Society for Industrial and Applied Mathematics 2018
- Softcover
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Core-Chasing Algorithms for the Eigenvalue Problem
Jared L. Aurentz, Leonardo Robol, David S. Watkins, Thomas Mach, Raf Vandebril
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US 2018
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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Paperback. Condition: 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.
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., New York 2018
- Softcover
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Paperback. Condition: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
