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Hardcover. Condition: As New. 1. Auflage. Unread, like new. Immediately dispatched from Germany.
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Hardcover. Condition: Fine. 9401771871 Like New; Hardcover; Close to new condition; Covers are still glossy with straight" edge-corners; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; Binding is tight with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Blue and gray covers with title in blue lettering; 2015, Springer-Verlag Publishing; 473 pages; "Parallelism in Matrix Computations (Scientific Computation)," by Efstratios Gallopoulos, et al.
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Condition: As New. Unread book in perfect condition.
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Parallelism in Matrix Computations
Book 30 of 36: Scientific ComputationSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 99.04
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Parallelism in Matrix Computations (Scientific Computation)
Book 30 of 36: Scientific ComputationSeller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 104.74
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Parallelism in Matrix Computations
Book 30 of 36: Scientific ComputationSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 109.59
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Parallelism in Matrix Computations
Book 30 of 36: Scientific ComputationSeller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. This book is primarily intended as a research monograph that could also be used in graduate courses for the design of parallel algorithms in matrix computations.It assumes general but not extensive knowledge of numerical linear algebra, parallel architectures, and parallel programming paradigms. The book consists of four parts: (I) Basics; (II) Dense and Special Matrix Computations; (III) Sparse Matrix Computations; and (IV) Matrix functions and characteristics. Part I deals with parallel programming paradigms and fundamental kernels, including reordering schemes for sparse matrices. Part II is devoted to dense matrix computations such as parallel algorithms for solving linear systems, linear least squares, the symmetric algebraic eigenvalue problem, and the singular-value decomposition. It also deals with the development of parallel algorithms for special linear systems such as banded ,Vandermonde ,Toeplitz ,and block Toeplitz systems. Part III addresses sparsematrix computations: (a) the development of parallel iterative linear system solvers with emphasis on scalable preconditioners, (b) parallel schemes for obtaining a few of the extreme eigenpairs or those contained in a given interval in the spectrum of a standard or generalized symmetric eigenvalue problem, and (c) parallel methods for computing a few of the extreme singular triplets. Part IV focuses on the development of parallel algorithms for matrix functions and special characteristics such as the matrix pseudospectrum and the determinant. The book also reviews the theoretical and practical background necessary when designing these algorithms and includes an extensive bibliography that will be useful to researchers and students alike. The book brings together many existing algorithms for the fundamental matrix computations that have a proven track record of efficient implementation in terms of data locality and data transfer on state-of-the-art systems, as well as several algorithms that are presented for the first time, focusing on the opportunities for parallelism and algorithm robustness. Softcover reprint of the original 1st ed. 2016.
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Parallelism in Matrix Computations (Scientific Computation)
Book 30 of 36: Scientific ComputationSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 132.36
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Condition: New. pp. 473.
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Parallelism in Matrix Computations
Book 30 of 36: Scientific ComputationLanguage: English
Published by Springer Netherlands, 2015
ISBN 10: 9401771871 ISBN 13: 9789401771870
US$ 109.84
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Add to basketGebunden. Condition: New.
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Parallelism in Matrix Computations
Book 30 of 36: Scientific ComputationLanguage: English
Published by Springer Netherlands, 2016
ISBN 10: 9402403175 ISBN 13: 9789402403176
Condition: New.
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US$ 183.28
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Add to basketHardcover. Condition: Brand New. 520 pages. French language. 9.25x6.50x1.50 inches. In Stock.
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US$ 130.97
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Add to basketPaperback. Condition: New. This book is primarily intended as a research monograph that could also be used in graduate courses for the design of parallel algorithms in matrix computations.It assumes general but not extensive knowledge of numerical linear algebra, parallel architectures, and parallel programming paradigms. The book consists of four parts: (I) Basics; (II) Dense and Special Matrix Computations; (III) Sparse Matrix Computations; and (IV) Matrix functions and characteristics. Part I deals with parallel programming paradigms and fundamental kernels, including reordering schemes for sparse matrices. Part II is devoted to dense matrix computations such as parallel algorithms for solving linear systems, linear least squares, the symmetric algebraic eigenvalue problem, and the singular-value decomposition. It also deals with the development of parallel algorithms for special linear systems such as banded ,Vandermonde ,Toeplitz ,and block Toeplitz systems. Part III addresses sparsematrix computations: (a) the development of parallel iterative linear system solvers with emphasis on scalable preconditioners, (b) parallel schemes for obtaining a few of the extreme eigenpairs or those contained in a given interval in the spectrum of a standard or generalized symmetric eigenvalue problem, and (c) parallel methods for computing a few of the extreme singular triplets. Part IV focuses on the development of parallel algorithms for matrix functions and special characteristics such as the matrix pseudospectrum and the determinant. The book also reviews the theoretical and practical background necessary when designing these algorithms and includes an extensive bibliography that will be useful to researchers and students alike. The book brings together many existing algorithms for the fundamental matrix computations that have a proven track record of efficient implementation in terms of data locality and data transfer on state-of-the-art systems, as well as several algorithms that are presented for the first time, focusing on the opportunities for parallelism and algorithm robustness. Softcover reprint of the original 1st ed. 2016.
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US$ 195.10
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Add to basketHardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: New. pp. 504.
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US$ 157.91
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Add to basketCondition: New. Print on Demand pp. 473.
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Condition: New. PRINT ON DEMAND pp. 473.
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US$ 244.93
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Add to basketCondition: New. Print on Demand pp. 504.
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Condition: New. PRINT ON DEMAND pp. 504.
