Jared L Aurentz (19 results)
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
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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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 USA, London, LONDO, United KingdomRarewaves.com USA
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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 MP-SIA SIAM - Society for Industrial and Applied M, 2018
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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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
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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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
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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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 Society For Industrial & Applied Mathematics,U.S., 2018
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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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
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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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
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by Society for Industrial & Applied Mathematics,U.S., New York, 2018
- Softcover
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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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.…
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2018
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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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
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2018
- Softcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2018
- Softcover
Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle
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Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2018
- Softcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2018
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New. In English.
Aurentz, J: Core-Chasing Algorithms for the Eigenvalue Prob
Jared L. Aurentz|Thomas Mach|Leonardo Robol|Raf Vandebril|David S. Watkins|David S. Watkins
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2018
- Softcover
Seller: moluna, Greven, Germanymoluna
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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 .
Language: English
Published by Society For Industrial & Applied Mathematics,U.S. Jul 2018, 2018
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware.
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
Contact seller5-star sellerCondition: New
US$ 76.17
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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
Contact seller5-star sellerCondition: New
US$ 138.08
US$ 37.00 shippingShips from Australia to U.S.A.Quantity: 1 available
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.…
