Parallel Algorithm Design Analysis (5 results)
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paperback. Condition: New. Paperback Pages Number: 607 Language: Chinese. Parallel algorithm design and analysis (revised edition) in the first edition on the basis of individual sections of the amendments and supplements. and in the beginning of each chapter. in addition to the original executive summary The new increase. teach… points can be used as the instructor teaching guide and reference. The parallel algorithm design and analysis (revised edition) The systematic and comprehensive discussion of a variety of speci.
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Taschenbuch. Condition: Neu. Designing Parallel Graph Coloring Algorithm - A Research Perspective | Design and Analysis of Algorithms | Harish Patidar (u. a.) | Taschenbuch | 148 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202519915 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Lands…tr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Language: Chinese
Published by National University of Defense Technology Press, 2000
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Seller: liu xing, Nanjing, JS, Chinaliu xing
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paperback. Condition: Good. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Structure-oriented parallel algorithm design and analysis [358]Four Satisfaction guaranteed,or money back.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Graph Coloring Problem is a well know NP-Hard problem. In vertex coloring problem all vertices of any graph must be colored in such a way that no two adjacent vertices colored with same color. In this research work two different algorith…ms are proposed to solve vertex coloring problems, Edge Cover based Graph Coloring Algorithm (ECGCA) and Tree Data Structure based Graph Coloring Algorithm (TGCA). One parallel version of ECGCA, Parallel Edge Cover based Graph Coloring Algorithm (PECGCA) is also proposed. ECGCA algorithm is based on finding vertex sets using edge cover method. In this research work implementation prospective of algorithm are also covered. Implemented algorithm is tested on various graph instances of DIMACS standards dataset. Algorithm execution time and number of colored required to color graph are compared with some other well know Graph Coloring Algorithms. Variation in time complexity with reference to increasing in number of vertices, number of edges and average degree of graph is also analyzed in this research work. In PECGCA enhanced parallel edge cover based graph coloring algorithm by incorporating parallel computing aspects in algorithm is introduced.
