Guide to Graph Algorithms: Sequential, Parallel and Distributed - Couverture rigide

Erciyes, K.

9783032052933: Guide to Graph Algorithms: Sequential, Parallel and Distributed

Couverture rigide

ISBN 10 : 3032052939 ISBN 13 : 9783032052933

Editeur : Springer Nature Switzerland AG, 2026

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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 algorithms
Offers a unifying view by examining the same graph problem from each of the three paradigms of sequential, parallel and distributed algorithms
Describes methods for the conversion between sequential, parallel and distributed graph algorithms
Surveys methods for the analysis of large graphs and complex network applications
Includes full implementation details for the problems presented throughout the text
Surveys advanced graph structures used in artificial intelligence with code examples
Reviews 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. Erciyes is professor of computer engineering at Yaşar 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.

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�diteur: Springer Nature Switzerland AG
Date d'�dition: 2026
Langue: anglais
ISBN 10: 3032052939
ISBN 13: 9783032052933
Reliure: Reli�
Num�ro d'�dition: 2
Nombre de pages: 552
Coordonn�es du fabricant: GPSR Kontakt
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Guide to Graph Algorithms (eng)

Erciyes, K.

Edit� par Springer, 2026

ISBN 10 : 3032052939 ISBN 13 : 9783032052933

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Guide to Graph Algorithms (Hardcover)

K. Erciyes

Edit� par Springer Nature Switzerland AG, Cham, 2026

ISBN 10 : 3032052939 ISBN 13 : 9783032052933

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Hardcover. Etat : new. Hardcover. 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. Erciyes is 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9783032052933

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Guide to Graph Algorithms

K. Erciyes

Edit� par Springer Jul 2026, 2026

ISBN 10 : 3032052939 ISBN 13 : 9783032052933

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - 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. 556 pp. Englisch. N� de r�f. du vendeur 9783032052933

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Guide to Graph Algorithms

Erciyes, K

Edit� par Springer Verlag GmbH, 2026

ISBN 10 : 3032052939 ISBN 13 : 9783032052933

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Guide to Graph Algorithms: Sequential, Parallel and Distributed (Texts in Computer Science)

Erciyes, K.

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ISBN 10 : 3032052939 ISBN 13 : 9783032052933

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Guide to Graph Algorithms: Sequential, Parallel and Distributed (Texts in Computer Science)

Erciyes, K.

Edit� par Springer, 2026

ISBN 10 : 3032052939 ISBN 13 : 9783032052933

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Guide to Graph Algorithms

Kayhan Erciyes

Edit� par Springer-Verlag Gmbh Jul 2026, 2026

ISBN 10 : 3032052939 ISBN 13 : 9783032052933

Neuf Couverture rigide

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Buch. Etat : 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 algorithms- Offers a unifying view by examining the same graph problem from each of the three paradigms of sequential, parallel and distributed algorithms- Describes methods for the conversion between sequential, parallel and distributed graph algorithms- Surveys methods for the analysis of large graphs and complex network applications- Includes full implementation details for the problems presented throughout the text- Surveys advanced graph structures used in artificial intelligence with code examples- Reviews 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. Erciyes is professor of computer engineering at Y�ar 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.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, Heidelberg 529 pp. Englisch. N� de r�f. du vendeur 9783032052933

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