Models of Massive Parallelism: Analysis of Cellular Automata and Neural Networks (Texts in Theoretical Computer Science. An EATCS Series).

Garzon, Max:

ISBN 10: 3540561498 ISBN 13: 9783540561491

Editorial: Springer, 1995

Idioma: Ingl�s

Condici�n: Usado - Excelente Encuadernaci�n de tapa dura

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Vendido por Wissenschaftl. Antiquariat Th. Haker e.K, Klettgau, Alemania

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Condici�n: Usado - Excelente

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Descripci�n

286 p. In very good condition. ISBN: 9783540561491 Sprache: Englisch Gewicht in Gramm: 549.

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Detalles bibliogr�ficos

T�tulo

Models of Massive Parallelism: Analysis of Cellular Automata and Neural Networks (Texts in Theoretical Computer Science. An EATCS Series).

Editor

Springer

Fecha de publicaci�n

1995

Idioma

Ingl�s

ISBN 10

3540561498

ISBN 13

9783540561491

Encuadernaci�n

hardcover.

Estado

Sehr gut

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Sinopsis

This textbook provides an introduction to the fundamental models of massively parallel computation, the most important technique for high-performance computing. It presents a coherent exposition of analytic methods and results for the exploration and understanding of cellular automata and discrete neural networks as computational and dynamical systems. The book will be useful also as a reference manual to the scattered literature in the field. Each chapter includes a separate bibliography, as well as pointers to historically relevant papers, and gives exercise problems for the reader.

Rese�a del editor

Locality is a fundamental restriction in nature. On the other hand, adaptive complex systems, life in particular, exhibit a sense of permanence and time� lessness amidst relentless constant changes in surrounding environments that make the global properties of the physical world the most important problems in understanding their nature and structure. Thus, much of the differential and integral Calculus deals with the problem of passing from local information (as expressed, for example, by a differential equation, or the contour of a region) to global features of a system's behavior (an equation of growth, or an area). Fundamental laws in the exact sciences seek to express the observable global behavior of physical objects through equations about local interaction of their components, on the assumption that the continuum is the most accurate model of physical reality. Paradoxically, much of modern physics calls for a fundamen� tal discrete component in our understanding of the physical world. Useful computational models must be eventually constructed in hardware, and as such can only be based on local interaction of simple processing elements.

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