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Kapcsolat

Introduction to Parallel Algorithms V 1

Szerző: C. Xavier, S. Sitharama Iyengar

Nyelv:

Kötés: Kemény kötésű

Kiadó: John Wiley & Sons Inc

Elérhetőség: Beszállítói készleten

Küldés 9-15 napon belül

73 326 Ft

Parallel algorithms Made Easy The complexity of today's applications coupled with the widespread us...

Információk a könyvről

Szerző

C. Xavier, S. Sitharama Iyengar

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

1998

oldal

384

EAN

9780471251828

ISBN

0471251828

Enbook ID

04889061

Kiadó

John Wiley & Sons Inc

Súly

724

Méretek

162 x 236 x 31

Teljes leírás

Parallel algorithms Made Easy The complexity of today's applications coupled with the widespread use of parallel computing has made the design and analysis of parallel algorithms topics of growing interest. This volume fills a need in the field for an introductory treatment of parallel algorithms-appropriate even at the undergraduate level, where no other textbooks on the subject exist. It features a systematic approach to the latest design techniques, providing analysis and implementation details for each parallel algorithm described in the book. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting, searching, and merging; and numerical algorithms. This remarkable book: Presents basic concepts in clear and simple terms Incorporates numerous examples to enhance students' understanding Shows how to develop parallel algorithms for all classical problems in computer science, mathematics, and engineering Employs extensive illustrations of new design techniques Discusses parallel algorithms in the context of PRAM model Includes end-of-chapter exercises and detailed references on parallel computing. This book enables universities to offer parallel algorithm courses at the senior undergraduate level in computer science and engineering. It is also an invaluable text/reference for graduate students, scientists, and engineers in computer science, mathematics, and engineering.