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Editorial Reviews
Review
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
Product Description
Already the most widely used textbook on graph theory, Gross and Yellen's Graph Theory and Its Applications enhances its appeal with the release of this refreshed and expanded second edition. The superior explanations, original applications, and abundance of study problems that positioned it as the preferred selection of classroom professors worldwide are still to be found. Nearly 200 pages have been added to the second edition including two new chapters, hundreds of new exercises, mostly non-routine; and illustrated solutions and hints to selected exercises. The authors also extensively revised and reorganized more than half of the previously existing chapters.
See all Editorial 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
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
Product Description
Already the most widely used textbook on graph theory, Gross and Yellen's Graph Theory and Its Applications enhances its appeal with the release of this refreshed and expanded second edition. The superior explanations, original applications, and abundance of study problems that positioned it as the preferred selection of classroom professors worldwide are still to be found. Nearly 200 pages have been added to the second edition including two new chapters, hundreds of new exercises, mostly non-routine; and illustrated solutions and hints to selected exercises. The authors also extensively revised and reorganized more than half of the previously existing chapters.
See all Editorial Reviews
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Inside This Book
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First Sentence:
Configurations of nodes and connections occur in a great diversity of applications. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
cellular imbedding, derived digraph, separating edge set, overlapping appendages, vertex bijection, linear graph mapping, digraph whose underlying graph, separating vertex set, base digraph, crosscap number, graph imbedding, voltage graph, permutation voltages, platonic graphs, unlabeled endpoint, average weighted length, vertex bipartition, minimum imbedding, polyhedral equation, digraph version, imbedding surface, subgraph list, arc whose tail, optimal postman tour, wraparound mesh Key Phrases - Capitalized Phrases (CAPs): (learn more)
Computer Project, Prove Proposition, Implement Algorithm, Chinese Postman Problem, Proof of Assertion, Prove Theorem, Confirm Lemma, Cycle Symmetry, Prove Assertion, General Surfaces, Higher-Order Surfaces, Regular Sphere Maps, Representing Imbeddings, Some Graph Operations, South America, Block Decompositions, Counting Simple Graphs, Edge Contraction, Icosian Game, Priority Trees, Arthur Cayley, Four Corners, Iterative Input, Leonhard Euler, Recursive Input New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Configurations of nodes and connections occur in a great diversity of applications. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
cellular imbedding, derived digraph, separating edge set, overlapping appendages, vertex bijection, linear graph mapping, digraph whose underlying graph, separating vertex set, base digraph, crosscap number, graph imbedding, voltage graph, permutation voltages, platonic graphs, unlabeled endpoint, average weighted length, vertex bipartition, minimum imbedding, polyhedral equation, digraph version, imbedding surface, subgraph list, arc whose tail, optimal postman tour, wraparound mesh Key Phrases - Capitalized Phrases (CAPs): (learn more)
Computer Project, Prove Proposition, Implement Algorithm, Chinese Postman Problem, Proof of Assertion, Prove Theorem, Confirm Lemma, Cycle Symmetry, Prove Assertion, General Surfaces, Higher-Order Surfaces, Regular Sphere Maps, Representing Imbeddings, Some Graph Operations, South America, Block Decompositions, Counting Simple Graphs, Edge Contraction, Icosian Game, Priority Trees, Arthur Cayley, Four Corners, Iterative Input, Leonhard Euler, Recursive Input New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 49
books:
See all 49 books this book cites
38
books
cite this book:
See all 38 books citing this book
- Topological Graph Theory by Jonathan L. Gross on 5 pages
- Graph Theory (Graduate Texts in Mathematics) by Reinhard Diestel on 4 pages
- Computer Algorithms: Introduction to Design and Analysis (3rd Edition) by Sara Baase in Back Matter (1), Back Matter (2), and Back Matter (3)
- Data Structures and Algorithms (Addison-Wesley Series in Computer Science and Information Pr) by Alfred V. Aho in Back Matter (1), Back Matter (2), and Back Matter (3)
- Graphs: Theory and Algorithms by K. Thulasiraman in Back Matter (1), Back Matter (2), and Back Matter (3)
See all 49 books this book cites
- Graphs, Algorithms, and Optimization (Discrete Mathematics and Its Applications) by William Kocay in Front Matter, and Back Matter
- Applied Combinatorics by Alan Tucker in Back Matter
- Random Graphs for Statistical Pattern Recognition (Wiley Series in Probability and Statistics) by David J. Marchette in Back Matter
- Fundamentals of Computation Theory: 15th International Symposium, FCT 2005, Lübeck, Gemany, August 17-20, 2005, Proceedings (Lecture Notes in Computer ... Computer Science and General Issues) by Maciej Liskiewicz on page 387
- Information and Communications Security: Third International Conference, ICICS 2001, Xian, China, November 13-16, 2001. Proceedings (Lecture Notes in Computer Science) by Sihan Qing on page 339
See all 38 books citing this book
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78% buy the item featured on this page: Graph Theory and Its Applications, Second Edition (Discrete Mathematics and Its Applications) $71.96 |
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