Graphs and Networks
126,99 €
inkl. gesetzl. MwSt.,
Lieferung nach Hause
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
29.04.2022
Verlag
John Wiley & Sons IncSeitenzahl
288
Maße (L/B/H)
16/23,9/2,3 cm
Gewicht
567 g
Auflage
1. Auflage
Sprache
Englisch
ISBN
978-1-118-93718-1
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
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