Graph and network theory : an applied approach using Mathematica This textbook covers a diversity of topics in graph and network theory both from a theoretical standpoint and from an applied modelling point of view. Mathematica® is used to demonstrate much of the modelling aspects. Graph theory and model building tools are developed in tandem with effective techniques for solving practical problems via computer implementation. The book is designed with three primary readerships in mind. Individual syllabi or suggested sequences for study are provided for each of three student audiences: mathematics applied mathematics operations research and computer science. In addition to the visual appeal of each page the text contains an abundance of gems. Most chapters open with real life problem descriptions which serve as motivation for the theoretical development of the subject matter. Each chapter concludes with three different sets of exercises. The first set of exercises are standard and geared toward the more mathematically inclined reader. Many of these are routine exercises designed to test understanding of the material in the text but some are more challenging. The second set of exercises is earmarked for the computer technologically savvy reader and offer computer exercises using Mathematica. The final set consists of larger projects aimed at equipping those readers with backgrounds in the applied sciences to apply the necessary skills learned in the chapter in the context of real world problem solving. Additionally each chapter offers biographical notes as well as pictures of graph theorists and mathematicians who have contributed significantly to the development of the results documented in the chapter. These notes are meant to bring the topics covered to life allowing the reader to associate faces with some of the important discoveries and results presented. In total approximately 100 biographical notes are presented throughout the book. The material in this book has been organized into three distinct parts each with a different focus. The first part is devoted to topics in network optimization with a focus on basic notions in algorithmic complexity and the computation of optimal paths shortest spanning trees maximum flows and minimum cost flows in networks as well as the solution of network location problems. The second part is devoted to a variety of classical problems in graph theory including problems related to matchings edge and vertex traversal connectivity planarity edge and vertex coloring and orientations of graphs. Finally the focus in the third part is on modern areas of study in graph theory covering graph domination Ramsey theory extremal graph theory graph enumeration and application of the probabilistic method. 4207 Preface List of Algorithms List of Bibliographical Notes Part 1. Topics in network optimisation 1. An introduction to graphs 2. Graph connectedness 3. Algorithmic complexity 4. Optimal paths 5. Trees 6. Location problems 7. Maximum flow networks 8. Minimum cost network flows Part 2. Topics in classical graph theory 9. Matchings 10. Eulerian graphs 11. Hamiltonian graphs 12. Graph connectivity 13. Planarity 14. Graph colouring 15. Oriented graphs. Part 3. Topics in modern graph theory 16. Domination in graphs 17. Ramsey Theory 18. Extremal graph theory 19. Graph enumeration 20. The probabilistic method Index.