Guide graph algorithms sequential di erciyes kayhan (3 risultati)
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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 88,49
EUR 17,28 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: Brand New. 2nd edition. 552 pages. 9.25x6.10x9.49 inches. In Stock.
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Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 69,80
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. Guide to Graph Algorithms | Sequential, Parallel and Distributed | Kayhan Erciyes | Buch | Texts in Computer Science | xxiii | Englisch | 2026 | Springer-Verlag GmbH | EAN 9783032052933 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]s…pringer[dot]com | Anbieter: preigu.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 85,37
EUR 65,46 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. Neuware - This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, approaches for NP-hard graph problems, approximation algorithms and heuristics for such problems and implementation of advanced graph structures in… machine learning. The work also provides a comparative analysis of sequential, parallel and distributed graph algorithms including algorithms for big data and an investigation into the conversion principles between the three algorithmic methods.Topics and features:Presents a comprehensive analysis of sequential graph algorithmsOffers a unifying view by examining the same graph problem from each of the three paradigms of sequential, parallel and distributed algorithmsDescribes methods for the conversion between sequential, parallel and distributed graph algorithmsSurveys methods for the analysis of large graphs and complex network applicationsIncludes full implementation details for the problems presented throughout the textSurveys advanced graph structures used in artificial intelligence with code examplesReviews graph machine-intelligence methods This practical guide to the design and analysis of graph algorithms is ideal for advanced and graduate students of computer science, electrical and electronic engineering, and bioinformatics. The material covered will also be of value to any researcher familiar with the basics of discrete mathematics, graph theory and algorithms and machine learning.Dr. K. Erciyesis professor of computer engineering at Yasar University, Turkey. His other publications include the Springer titles Distributed Graph Algorithms for Computer Networks, Distributed and Sequential Algorithms for Bioinformatics,and Guide to Distributed Algorithms.
