Parallel Complexity of Linear System Solution

Leoncini Mauro Codenotti Bruno

ISBN 10: 9810205031 ISBN 13: 9789810205034

Editorial: World Scientific Publishing Company, Incorporated, 1991

Idioma: Ingl�s

Condici�n: Nuevo Encuadernaci�n de tapa blanda

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Descripci�n

pp. 228.

N� de ref. del art�culo 5843540

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Detalles bibliogr�ficos

T�tulo: Parallel Complexity of Linear System Solution
Editor: World Scientific Publishing Company, Incorporated
Fecha de publicaci�n: 1991
Idioma: Ingl�s
ISBN 10: 9810205031
ISBN 13: 9789810205034
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: New

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Sinopsis

This book presents the most important parallel algorithms for the solution of linear systems. Despite the evolution and significance of the field of parallel solution of linear systems, no book is completely dedicated to the subject. People interested in the themes covered by this book belong to two different groups: numerical linear algebra and theoretical computer science, and this is the first effort to produce a useful tool for both. The book is organized as follows: after introducing the general features of parallel algorithms and the most important models of parallel computation, the authors analyze the complexity of solving linear systems in the circuit, PRAM, distributed, and VLSI models. The approach covers both the general case (i.e. dense linear systems without structure) and many important special cases (i.e. banded, sparse, Toeplitz, circulant linear systems).

Rese�a del editor

This book presents the most important parallel algorithms for the solution of linear systems. Despite the evolution and significance of the field of parallel solution of linear systems, no book is completely dedicated to the subject. People interested in the themes covered by this book belong to two different groups: numerical linear algebra and theoretical computer science, and this is the first effort to produce a useful tool for both. The book is organized as follows: after introducing the general features of parallel algorithms and the most important models of parallel computation, the authors analyze the complexity of solving linear systems in the circuit, PRAM, distributed, and VLSI models. The approach covers both the general case (i.e. dense linear systems without structure) and many important special cases (i.e. banded, sparse, Toeplitz, circulant linear systems).

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