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Matériel obligatoire et recommandé
Graph Theory and Its Applications 2 ed.
Gross, J.L.
Éditeur : CRC PRESS
ISBN papier: 158488505X
Parution : 2006
Code produit : 1134353
Catégorisation :
Livres /
Science /
Mathématique /
Mathématiques
Formats disponibles
| Format | Qté. disp. | Prix* | Commander |
|---|---|---|---|
| Livre papier | En rupture de stock** |
Prix membre : 98,75 $ Prix non-membre : 103,95 $ |
*Les prix sont en dollars canadien. Taxes et frais de livraison en sus.
**Ce produits est en rupture de stock mais sera expédié dès qu'ils sera disponible.
Description
Already an international bestseller, with the release of this greatly enhanced second edition, "Graph Theory and Its Applications" is now an even better choice as a textbook for a variety of courses - a textbook that will continue to serve your students as a reference for years to come. The superior explanations, broad coverage, and abundance of illustrations and exercises that positioned this as the premier graph theory text remain, but are now augmented by a broad range of improvements. Nearly 200 pages have been added for this edition, including nine new sections and hundreds of new exercises, mostly non-routine.This book includes: new chapters on measurement and analytic graph theory; supplementary exercises in each chapter - ideal for reinforcing, reviewing, and testing; solutions and hints, often illustrated with figures, to selected exercises - nearly 50 pages worth; reorganization and extensive revisions in more than half of the existing chapters for smoother flow of the exposition; and, foreshadowing - the first three chapters now preview a number of concepts, mostly via the exercises, to pique the interest of reader. Gross and Yellen take a comprehensive approach to graph theory that integrates careful exposition of classical developments with emerging methods, models, and practical needs. Their unparalleled treatment provides a text ideal 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.