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Graph theory / J. A. Bondy, U. S. R. Murty.

Math/Physics/Astronomy Library QA166 .B66 2008
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Format:
Book
Author/Creator:
Bondy, J. A. (John Adrian)
Contributor:
Murty, U. S. R.
Series:
Graduate texts in mathematics ; 244.
Graduate texts in mathematics ; 244
Language:
English
Subjects (All):
Graph theory.
Physical Description:
xii, 651 pages : illustrations ; 25 cm.
Place of Publication:
New York ; London : Springer, 2008.
Summary:
Graph theory is a flourishing discipline containing a body of beautiful and powerful theorems of wide applicability. Its explosive growth in recent years is mainly due to its role as an essential structure underpinning modern applied mathematics - computer science, combinatorial optimization, and operations research in particular - but also to its increasing application in the more applied sciences. The versatility of graphs makes them indispensable tools in the design and analysis of communication networks, for instance.
The primary aim of this book is to present a coherent introduction to the subject, suitable as a textbook for advanced undergraduate and beginning graduate students in mathematics and computer science. It provides a systematic treatment of the theory of graphs without sacrificing its intuitive and aesthetic appeal. Commonly used proof techniques are described and illustrated, and a wealth of exercises - of varying levels of difficulty - are provided to help the reader master the techniques and reinforce their grasp of the material.
A second objective is to serve as an introduction to research in graph theory. To this end, sections on more advanced topics are included, and a number of interesting and challenging open problems are highlighted and discussed in some detail. Despite this more advanced material, the book has been organized in such a way that an introductory course on graph theory can be based on the first few sections of selected chapters.
Contents:
1 Graphs 1
2 Subgraphs 39
3 Connected Graphs 79
4 Trees 99
5 Nonseparable Graphs 117
6 Tree-Search Algorithms 135
7 Flows in Networks 157
8 Complexity of Algorithms 173
9 Connectivity 205
10 Planar Graphs 243
11 The Four-Colour Problem 287
12 Stable Sets and Cliques 295
13 The Probabilistic Method 329
14 Vertex Colourings 357
15 Colourings of Maps 391
16 Matchings 413
17 Edge Colourings 451
18 Hamilton Cycles 471
19 Coverings and Packings in Directed Graphs 503
20 Electrical Networks 527
21 Integer Flows and Coverings 557
Graph Parameters 625
Operations and Relations 627
Families of Graphs 629
Structures 631
Other Notation 633.
Notes:
Includes bibliographical references (pages [593]-622) and index.
ISBN:
1846289696
9781846289699
184628970X
9781846289705
OCLC:
176832832

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