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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.
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.
Presents detailed coverage of sequential graph algorithms, together with some sample parallel and distributed graph algorithm design methods
Provides a comparative analysis of the three methods of sequential, parallel and distributed graph algorithms
Describes techniques for conversion between the different methods
Fachbereich: | Wahrscheinlichkeitstheorie |
---|---|
Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
Medium: | Taschenbuch |
Inhalt: |
xviii
471 S. 246 s/w Illustr. 1 farbige Illustr. 471 p. 247 illus. 1 illus. in color. |
ISBN-13: | 9783030103385 |
ISBN-10: | 3030103382 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Erciyes, K. |
Auflage: | Softcover reprint of the original 1st edition 2018 |
Hersteller: |
Springer Nature Switzerland
Springer International Publishing |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 235 x 155 x 25 mm |
Von/Mit: | K. Erciyes |
Erscheinungsdatum: | 01.02.2019 |
Gewicht: | 0,842 kg |
Presents detailed coverage of sequential graph algorithms, together with some sample parallel and distributed graph algorithm design methods
Provides a comparative analysis of the three methods of sequential, parallel and distributed graph algorithms
Describes techniques for conversion between the different methods
Fachbereich: | Wahrscheinlichkeitstheorie |
---|---|
Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
Medium: | Taschenbuch |
Inhalt: |
xviii
471 S. 246 s/w Illustr. 1 farbige Illustr. 471 p. 247 illus. 1 illus. in color. |
ISBN-13: | 9783030103385 |
ISBN-10: | 3030103382 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Erciyes, K. |
Auflage: | Softcover reprint of the original 1st edition 2018 |
Hersteller: |
Springer Nature Switzerland
Springer International Publishing |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 235 x 155 x 25 mm |
Von/Mit: | K. Erciyes |
Erscheinungsdatum: | 01.02.2019 |
Gewicht: | 0,842 kg |