optimization. This comprehensive, applications-driven text provides a fresh and accessible approach suitable for several different courses in graph theory. Written for graduate and advanced undergraduate students, for self-study, and as a reference for working professionals, it covers a wide range of topics in algorithmic, combinatorial, and topological graph theory. The authors present numerous applications and examples designed to stimulate interest in and demonstrate the relevance of new concepts. With its generous use of drawings, streamlined proofs, and concise algorithms, Graph Theory and Its Applications offers a less intimidating treatment of the subject. It also includes more than 1,600 exercises-from routine to challenging-providing a rich source of problems that test your understanding. In this text, the authors succeed in presenting the subject in a cohesive framework that transforms important techniques and analytic tools into a unified mathematical methodology.

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