Overview

Graph theory offers a rich source of problems and techniques for programming and data structure development, as well as for understanding computing theory, including NP-Completeness and polynomial reduction. A comprehensive text, Graphs, Algorithms, and Optimization features clear exposition on modern algorithmic graph theory presented in a rigorous yet approachable way. The book covers major areas of graph theory including discrete optimization and its connection to graph algorithms. The authors explore surface topology from an intuitive point of view and include detailed discussions on linear programming that emphasize graph theory problems useful in mathematics and computer science. Many algorithms are provided along with the data structure needed to program the algorithms efficiently. The book also provides coverage on algorithm complexity and efficiency, NP-completeness, linear optimization, and linear programming and its relationship to graph algorithms. Written in an accessible and informal style, this work covers nearly all areas of graph theory. Graphs, Algorithms, and Optimization provides a modern discussion of graph theory applicable to mathematics, computer science, and crossover applications.

Full Product Details

9781584883968

Table of Contents

Reviews

The book is written in an easygoing style, and the proofs are concisely presented and easy to follow. [This book] would serve as a fine textbook for an undergraduate graph theory course for math majors. [I]t is well-written, the proofs are easy to follow, the figures complement the text, and the exercises are helpful to student understanding - MAA Online A valuable resource for mathematics and computer science students and professionalscontains a wealth of information on algorithms and the data structures needed to program them efficientlythe graph theory presented is rigorous, but the style is informal. - L'Enseignement Mathimatique

Author Information

Tab Content 6

Customer Reviews

Recent Reviews

Countries Available