Graphs and Networks (PDF)
(Sprache: Englisch)
Graphs and Networks
A unique blend of graph theory and network science for mathematicians and data science professionals alike.
Featuring topics such as minors, connectomes, trees, distance, spectral graph theory, similarity, centrality, small-world...
A unique blend of graph theory and network science for mathematicians and data science professionals alike.
Featuring topics such as minors, connectomes, trees, distance, spectral graph theory, similarity, centrality, small-world...
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Graphs and Networks
A unique blend of graph theory and network science for mathematicians and data science professionals alike.
Featuring topics such as minors, connectomes, trees, distance, spectral graph theory, similarity, centrality, small-world networks, scale-free networks, graph algorithms, Eulerian circuits, Hamiltonian cycles, coloring, higher connectivity, planar graphs, flows, matchings, and coverings, Graphs and Networks contains modern applications for graph theorists and a host of useful theorems for network scientists.
The book begins with applications to biology and the social and political sciences and gradually takes a more theoretical direction toward graph structure theory and combinatorial optimization. A background in linear algebra, probability, and statistics provides the proper frame of reference.
Graphs and Networks also features:
* Applications to neuroscience, climate science, and the social and political sciences
* A research outlook integrated directly into the narrative with ideas for students interested in pursuing research projects at all levels
* A large selection of primary and secondary sources for further reading
* Historical notes that hint at the passion and excitement behind the discoveries
* Practice problems that reinforce the concepts and encourage further investigation and independent work
A unique blend of graph theory and network science for mathematicians and data science professionals alike.
Featuring topics such as minors, connectomes, trees, distance, spectral graph theory, similarity, centrality, small-world networks, scale-free networks, graph algorithms, Eulerian circuits, Hamiltonian cycles, coloring, higher connectivity, planar graphs, flows, matchings, and coverings, Graphs and Networks contains modern applications for graph theorists and a host of useful theorems for network scientists.
The book begins with applications to biology and the social and political sciences and gradually takes a more theoretical direction toward graph structure theory and combinatorial optimization. A background in linear algebra, probability, and statistics provides the proper frame of reference.
Graphs and Networks also features:
* Applications to neuroscience, climate science, and the social and political sciences
* A research outlook integrated directly into the narrative with ideas for students interested in pursuing research projects at all levels
* A large selection of primary and secondary sources for further reading
* Historical notes that hint at the passion and excitement behind the discoveries
* Practice problems that reinforce the concepts and encourage further investigation and independent work
Autoren-Porträt von S. R. Kingan
S. R. Kingan is an Associate Professor of Mathematics at Brooklyn College and the Graduate Center of The City University of New York. Dr. Kingan's research interests include graph theory, matroid theory, combinatorial algorithms, and their applications.
Bibliographische Angaben
- Autor: S. R. Kingan
- 2022, 1. Auflage, 288 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118937201
- ISBN-13: 9781118937204
- Erscheinungsdatum: 28.04.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 8.92 MB
- Mit Kopierschutz
Sprache:
Englisch
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