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Parallel Algorithms for Matrix Computations
Heath, Michael T., Plemmons, R. J., Ortega, James M., Gallivan, K. A., Ng, Esmond
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics 1990
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Da: Better World Books, Mishawaka, IN, U.S.A.Better World Books
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Condizione: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Da: HPB-Red, Dallas, TX, U.S.A.HPB-Red
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EUR 21,26
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paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
Parallel Algorithms for Matrix Computations
K.A. Gallivan, Barry M. Peyton, Esmond Ng, James M. Ortega, Michael T. Heath
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US 1990
- Brossura
Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 54,86
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: New. Describes a selection of important parallel algorithms for matrix computations. Reviews the current status and provides an overall perspective of parallel algorithms for solving problems arising in the major areas of numerical linear algebra, including (1) direct solution of dense, structured, or spar…se linear systems, (2) dense or structured least squares computations, (3) dense or structured eigenvaluen and singular value computations, and (4) rapid elliptic solvers. The book emphasizes computational primitives whose efficient execution on parallel and vector computers is essential to obtain high performance algorithms.Consists of two comprehensive survey papers on important parallel algorithms for solving problems arising in the major areas of numerical linear algebra - direct solution of linear systems, least squares computations, eigenvalue and singular value computations, and rapid elliptic solvers, plus an extensive up-to-date bibliography (2,000 items) on related research.
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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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EUR 47,11
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Paperback. Condizione: Brand New. illustrated edition edition. 207 pages. 10.00x6.75x0.75 inches. In Stock.
Parallel Algorithms for Matrix Computations
Gallivan, K. A.; Heath, Michael T.; Ng, Esmond; Ortega, James M.; Peyton, Barry W.; Plemmons, R. J.; Romine, Charles H.; Sameh, A. H.; Voigt, Robert G.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics 1987
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Da: SHIMEDIA, Brooklyn, NY, U.S.A.SHIMEDIA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 106,77
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Condizione: New. Satisfaction Guaranteed or your money back.
Parallel Algorithms for Matrix Computations
K.A. Gallivan, Barry M. Peyton, Esmond Ng, James M. Ortega, Michael T. Heath
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US 1990
- Brossura
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 48,71
EUR 75,33 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: New. Describes a selection of important parallel algorithms for matrix computations. Reviews the current status and provides an overall perspective of parallel algorithms for solving problems arising in the major areas of numerical linear algebra, including (1) direct solution of dense, structured, or spar…se linear systems, (2) dense or structured least squares computations, (3) dense or structured eigenvaluen and singular value computations, and (4) rapid elliptic solvers. The book emphasizes computational primitives whose efficient execution on parallel and vector computers is essential to obtain high performance algorithms.Consists of two comprehensive survey papers on important parallel algorithms for solving problems arising in the major areas of numerical linear algebra - direct solution of linear systems, least squares computations, eigenvalue and singular value computations, and rapid elliptic solvers, plus an extensive up-to-date bibliography (2,000 items) on related research.
