Description

Book Synopsis

Graph Theory and Its Applications, Third Edition is the latest edition of the international, bestselling textbook for undergraduate courses in graph theory, yet it is expansive enough to be used for graduate courses as well. The textbook takes a comprehensive, accessible approach to graph theory, integrating careful exposition of classical developments with emerging methods, models, and practical needs.

The authorsâ unparalleled treatment is an ideal text for a two-semester course and a variety of one-semester classes, from an introductory one-semester course to courses slanted toward classical graph theory, operations research, data structures and algorithms, or algebra and topology.

Features of the Third Edition



  • Expanded coverage on several topics (e.g., applications of graph coloring and tree-decompositions)




  • Provides better coverage of algorithms and algebraic

    Table of Contents

    Introduction to Graph Models

    Graphs and Digraphs. Common Families of Graphs. Graph Modeling Applications. Walks and Distance. Paths, Cycles, and Trees. Vertex and Edge Attributes.

    Structure and Representation

    Graph Isomorphism. Automorphism and Symmetry. Subgraphs. Some Graph Operations. Tests for Non-Isomorphism. Matrix Representation. More Graph Operations.

    Trees

    Characterizations and Properties of Trees. Rooted Trees, Ordered Trees, and Binary Trees. Binary-Tree Traversals. Binary-Search Trees. Huffman Trees and Optimal Prefix Codes. Priority Trees. Counting Labeled Trees. Counting Binary Trees.

    Spanning Trees

    Tree Growing. Depth-First and Breadth-First Search. Minimum Spanning Trees and Shortest Paths. Applications of Depth-First Search. Cycles, Edge-Cuts, and Spanning Trees. Graphs and Vector Spaces. Matroids and the Greedy Algorithm.

    Connectivity

    Vertex and Edge-Connectivity. Constructing Reliable Networks. Max-Min Duality and Menger’s Theorems. Block Decompositions.

    Optimal Graph Traversals

    Eulerian Trails and Tours. DeBruijn Sequences and Postman Problems. Hamiltonian Paths and Cycles. Gray Codes and Traveling Salesman Problems.

    Planarity and Kuratowski’s Theorem

    Planar Drawings and Some Basic Surfaces. Subdivision and Homeomorphism. Extending Planar Drawings. Kuratowski’s Theorem. Algebraic Tests for Planairty. Planarity Algorithm. Crossing Numbers and Thickness.

    Graph Colorings

    Vertex-Colorings. Map-Colorings. Edge-Colorings. Factorization.

    Special Digraph Models

    Directed Paths and Mutual Reachability. Digraphs as Models for Relations. Tournaments. Project Scheduling. Finding the Strong Components of a Digraph.

    Network Flows and Applications

    Flows and Cuts in Networks. Solving the Maximum-Flow Problem. Flows and Connectivity. Matchings, Transversals, and Vertex Covers.

    Graph Colorings and Symmetry

    Automorphisms of Simple Graphs. Equivalence Classes of Colorings.

    Appendix

Graph Theory and Its Applications

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    A Paperback by Jonathan L. Gross, Jay Yellen, Mark Anderson

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      View other formats and editions of Graph Theory and Its Applications by Jonathan L. Gross

      Publisher: CRC Press
      Publication Date: 1/21/2023 12:00:00 AM
      ISBN13: 9781032475950, 978-1032475950
      ISBN10: 1032475951

      Description

      Book Synopsis

      Graph Theory and Its Applications, Third Edition is the latest edition of the international, bestselling textbook for undergraduate courses in graph theory, yet it is expansive enough to be used for graduate courses as well. The textbook takes a comprehensive, accessible approach to graph theory, integrating careful exposition of classical developments with emerging methods, models, and practical needs.

      The authorsâ unparalleled treatment is an ideal text for a two-semester course and a variety of one-semester classes, from an introductory one-semester course to courses slanted toward classical graph theory, operations research, data structures and algorithms, or algebra and topology.

      Features of the Third Edition



      • Expanded coverage on several topics (e.g., applications of graph coloring and tree-decompositions)




      • Provides better coverage of algorithms and algebraic

        Table of Contents

        Introduction to Graph Models

        Graphs and Digraphs. Common Families of Graphs. Graph Modeling Applications. Walks and Distance. Paths, Cycles, and Trees. Vertex and Edge Attributes.

        Structure and Representation

        Graph Isomorphism. Automorphism and Symmetry. Subgraphs. Some Graph Operations. Tests for Non-Isomorphism. Matrix Representation. More Graph Operations.

        Trees

        Characterizations and Properties of Trees. Rooted Trees, Ordered Trees, and Binary Trees. Binary-Tree Traversals. Binary-Search Trees. Huffman Trees and Optimal Prefix Codes. Priority Trees. Counting Labeled Trees. Counting Binary Trees.

        Spanning Trees

        Tree Growing. Depth-First and Breadth-First Search. Minimum Spanning Trees and Shortest Paths. Applications of Depth-First Search. Cycles, Edge-Cuts, and Spanning Trees. Graphs and Vector Spaces. Matroids and the Greedy Algorithm.

        Connectivity

        Vertex and Edge-Connectivity. Constructing Reliable Networks. Max-Min Duality and Menger’s Theorems. Block Decompositions.

        Optimal Graph Traversals

        Eulerian Trails and Tours. DeBruijn Sequences and Postman Problems. Hamiltonian Paths and Cycles. Gray Codes and Traveling Salesman Problems.

        Planarity and Kuratowski’s Theorem

        Planar Drawings and Some Basic Surfaces. Subdivision and Homeomorphism. Extending Planar Drawings. Kuratowski’s Theorem. Algebraic Tests for Planairty. Planarity Algorithm. Crossing Numbers and Thickness.

        Graph Colorings

        Vertex-Colorings. Map-Colorings. Edge-Colorings. Factorization.

        Special Digraph Models

        Directed Paths and Mutual Reachability. Digraphs as Models for Relations. Tournaments. Project Scheduling. Finding the Strong Components of a Digraph.

        Network Flows and Applications

        Flows and Cuts in Networks. Solving the Maximum-Flow Problem. Flows and Connectivity. Matchings, Transversals, and Vertex Covers.

        Graph Colorings and Symmetry

        Automorphisms of Simple Graphs. Equivalence Classes of Colorings.

        Appendix

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