I will recommend this book as a text for the next time we teach our graph theory course
this is a well- written book. The authors have done a good job.
- -Computing Reviews
I will recommend this book as a text for the next time we teach our graph theory course … this is a well- written book. The authors have done a good job.
- -Computing Reviews
This is a huge book, almost 200 pages longer than the already massive first edition. One is tempted to call it, Everything You Wanted to Know about Graph Theory but Were Afraid to Ask. Nonetheless, Graph Theory and Its Applications is a very good textbook.
What makes it good is strong rapport with the reader, a coherent organization, and consistently clear exposition. The book is aimed at a diverse set of readers. Courses based on this book could be directed toward computer science (concentrating on data structures and algorithms), operation research (focusing on discrete optimization), or mathematics (emphasizing the algebraic and topological aspects). The text is most appropriate for advanced undergraduates or beginning graduate students. Since it is essentially self-contained, it could also be profitably for self-study.
Notable attractive features of the text are breakout boxes with pseudo-code for all significant algorithms (as well as suggestions for specific software implementation), hundreds of examples of graphs carefully integrated with the text, a glossary of terms with each chapter (especially useful in this terminology-heavy field), and a ton of exercises - many with solutions or hints.
- William Satzer, 3M Company
This is a huge book, almost 200 pages longer than the already massive first edition. One is tempted to call it, Everything You Wanted to Know about Graph Theory but Were Afraid to Ask. Nonetheless, Graph Theory and Its Applications is a very good textbook.
What makes it good is strong rapport with the reader, a coherent organization, and consistently clear exposition. The book is aimed at a diverse set of readers. Courses based on this book could be directed toward computer science (concentrating on data structures and algorithms), operation research (focusing on discrete optimization), or mathematics (emphasizing the algebraic and topological aspects). The text is most appropriate for advanced undergraduates or beginning graduate students. Since it is essentially self-contained, it could also be profitably for self-study.
Notable attractive features of the text are breakout boxes with pseudo-code for all significant algorithms (as well as suggestions for specific software implementation), hundreds of examples of graphs carefully integrated with the text, a glossary of terms with each chapter (especially useful in this terminology-heavy field), and a ton of exercises - many with solutions or hints.
- William Satzer, 3M Company
an excellent vehicle for either a class text or a self-study reference. The writing is clear
highly recommended
most suitable for an advanced undergraduate in either engineering or computer science.
-Journal of Mathematical Psychology
… an excellent vehicle for either a class text or a self-study reference. The writing is clear … highly recommended … most suitable for an advanced undergraduate in either engineering or computer science.
-Journal of Mathematical Psychology
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.
What else is new?
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
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.