Combining the features of a textbook with those of a problem workbook, this text for mathematics, computer science and engineering students presents a natural, friendly way to learn some of the essential ideas of graph theory. The material is explained using 360 strategically placed problems with connecting text, which is then supplemented by 280 additional homework problems. This problem-oriented format encourages active involvement by the reader while always giving clear direction. This approach is especially valuable with the presentation of proofs, which become more frequent and elaborate as the book progresses. Arguments are arranged in digestible chunks and always appear together with concrete examples to help remind the reader of the bigger picture. Topics include spanning tree algorithms, Euler paths, Hamilton paths and cycles, independence and covering, connections and obstructions, and vertex and edge colourings.
Rezensionen / Stimmen
This work could be the basis for a very nice one-semester ""transition"" course in which students evolve from users of theorems to creators of proofs. With their intuitive appeal and pictorial representations, graphs may be a better basis than analysis and limits for such a transtion."" - Choice
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Editions-Typ
Produkt-Hinweis
Maße
Höhe: 254 mm
Breite: 179 mm
Dicke: 15 mm
Gewicht
ISBN-13
978-0-88385-772-4 (9780883857724)
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Schweitzer Klassifikation
Daniel A. Marcus received his PhD from Harvard University. He was a J. Willard Gibbs Instructor at Yale University from 1972 to 1974 and Professor of Mathematics at California State Polytechnic University, Pomona, from 1979 to 2004.
Preface; 1. Introduction: problems of graph theory; 2. Basic concepts; 3. Isomorphic graphs; 4. Bipartite graphs; 5. Trees and forests; 6. Spanning tree algorithms; 7. Euler paths; 8. Hamilton paths and cycles; 9. Planar graphs; 10. Independence and covering; 11. Connections and obstructions; 12. Vertex coloring; 13. Edge coloring; 14. Matching theory for bipartite graphs; 15. Applications of matching theory; 16. Cycle-free digraphs; 17. Network flow theory; 18. Flow problems with lower bounds; Answers to selected problems; Index; About the author.
