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Hardcover. Zustand: new. Hardcover. 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 sciencesA research outlook integrated directly into the narrative with ideas for students interested in pursuing research projects at all levelsA large selection of primary and secondary sources for further reading Historical notes that hint at the passion and excitement behind the discoveriesPractice problems that reinforce the concepts and encourage further investigation and independent work Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

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Hardcover. Zustand: new. Hardcover. 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 sciencesA research outlook integrated directly into the narrative with ideas for students interested in pursuing research projects at all levelsA large selection of primary and secondary sources for further reading Historical notes that hint at the passion and excitement behind the discoveriesPractice problems that reinforce the concepts and encourage further investigation and independent work Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

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Zustand: New. 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.

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Buch. Zustand: Neu. Neuware - Graphs and NetworksA 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.…

Hardcover. Zustand: new. Hardcover. 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 sciencesA research outlook integrated directly into the narrative with ideas for students interested in pursuing research projects at all levelsA large selection of primary and secondary sources for further reading Historical notes that hint at the passion and excitement behind the discoveriesPractice problems that reinforce the concepts and encourage further investigation and independent work This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

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