Graph Theory and its Applications / by J. L. Gross and others. [Electronic Resource]
Material type: Computer fileSeries: Textbooks in Mathematics SeriesPublication details: Milton : Chapman and Hall, 2018Description: 593pISBN:- 9780429757099
- 511.5Â G914G
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 511.5 G914G (Browse shelf(Opens below)) | Available (e-Book For Access) | Platform : ProQuest | EB0162 |
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
511.352 G578C Computational Complexity : A Conceptual Perspective | 511.42 R631I An Introduction to NURBS : With Historical Perspective | 511.5 C989I An Introduction to the Theory of Graph Spectra | 511.5 G914G Graph Theory and its Applications | 511.6 L911A Applied Combinatorics on Words | 512 C661B Basic Algebra : Groups, Rings and Fields | 512.02 B469B Basic Abstract Algebra |
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 authors' 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 and topological graph theory than any other text Incorporates several levels of carefully designed exercises that promote student retention and develop and sharpen problem-solving skills Includes supplementary exercises to develop problem-solving skills, solutions and hints, and a detailed appendix, which reviews the textbook's topics About the Authors Jonathan L. Gross is a professor of computer science at Columbia University. His research interests include topology and graph theory. Jay Yellen is a professor of mathematics at Rollins College. His current areas of research include graph theory, combinatorics, and algorithms. Mark Anderson is also a mathematics professor at Rollins College. His research interest in graph theory centers on the topological or algebraic side.
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