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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Daniel A. Marcus was Professor of Mathematics at California State Polytechnic University, Pomona.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : Very Good. 1st Edition. Graph Theory presents a natural, reader-friendly way to learn some of the essential ideas of graph theory starting from first principles. The format is similar to the companion text, Combinatorics: A Problem Oriented Approach (MAA 1998), in that it combines the features of a textbook with those of a problem workbook. The material is presented through a series of approximately 400 strategically placed problems with connecting text. This is supplemented by 300 additional problems that are intended to be used as homework assignments. Concepts of graph theory are introduced, developed and reinforced by working through leading questions posed in the problems. Text in English. 205 pp. N° de réf. du vendeur 2902
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