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Algorithmic Aspects of Graph Connectivity [Kietas viršelis]

(Kyoto University, Japan), (Kwansei Gakuin University, Japan)
  • Formatas: Hardback, 392 pages, aukštis x plotis x storis: 234x160x33 mm, weight: 680 g, 1 Tables, unspecified
  • Serija: Encyclopedia of Mathematics and its Applications
  • Išleidimo metai: 08-Sep-2008
  • Leidėjas: Cambridge University Press
  • ISBN-10: 0521878640
  • ISBN-13: 9780521878647
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 392 pages, aukštis x plotis x storis: 234x160x33 mm, weight: 680 g, 1 Tables, unspecified
  • Serija: Encyclopedia of Mathematics and its Applications
  • Išleidimo metai: 08-Sep-2008
  • Leidėjas: Cambridge University Press
  • ISBN-10: 0521878640
  • ISBN-13: 9780521878647
Kitos knygos pagal šią temą:
As a complement to this series, in which the abstract theory is less important than the implications and applications of significant topics or themes, this research monograph covers of the algorithmic results attained in the area of graph connectivity, and puts emphasis on results obtained from the introduction of maximum adjacency ordering. Nagamochi (informatics, Kyoto U.) and Ibaraki (Kwansei Gakuin U.) build from the basics, starting by introducing graph theory, flows and cuts, computing connectivity, cut structures, connectivity by trees, and tree hypergraphs. They progress to maximum adjacency ordering and forest decompositions, minimum cuts, cut enumeration, cactus representations, extreme vertex sets, edge splitting, connectivity augmentation, source location problems, and semi- modular and posi-modular set function.. They include a very comprehensive bibliography. The result is a comprehensive graduate level text and a worthy addition to a professional library. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

Algorithmic Aspects of Graph Connectivity is the first comprehensive book on this central notion in graph and network theory, emphasizing its algorithmic aspects. Because of its wide applications in the fields of communication, transportation, and production, graph connectivity has made tremendous algorithmic progress under the influence of the theory of complexity and algorithms in modern computer science. The book contains various definitions of connectivity, including edge-connectivity and vertex-connectivity, and their ramifications, as well as related topics such as flows and cuts. The authors comprehensively discuss new concepts and algorithms that allow for quicker and more efficient computing, such as maximum adjacency ordering of vertices. Covering both basic definitions and advanced topics, this book can be used as a textbook in graduate courses in mathematical sciences, such as discrete mathematics, combinatorics, and operations research, and as a reference book for specialists in discrete mathematics and its applications.

The first really thorough book to discuss this central notion in graph and network theory, emphasising its algorithmic aspects.

Recenzijos

' a comprehensive graduate level text and a worthy addition to a professional library.' SciTech Book News 'This fine graduate-level textbook discusses the algorithmic efficiency of graph connectivity problems. What is impressive about this book is the unified framework in which algorithmic efficiency is discussed.' Mathematical Reviews 'This excellent book can be an important source for researchers and a valuable textbook for graduate students.' Zentralblatt MATH ' comprehensive and detailed ' EMS Newsletter

Daugiau informacijos

The first really thorough book to discuss this central notion in graph and network theory, emphasizing its algorithmic aspects.
Preface ix
Notation xi
Introduction
1(64)
Preliminaries of Graph Theory
1(12)
Algorithms and Complexities
13(7)
Flows and Cuts
20(14)
Computing Connectivities
34(11)
Representations of Cut Structures
45(12)
Connectivity by Trees
57(3)
Tree Hypergraphs
60(5)
Maximum Adjacency Ordering and Forest Decompositions
65(49)
Spanning Subgraphs Preserving Connectivity
65(8)
MA Ordering
73(13)
3-Edge-Connected Components
86(14)
2-Approximation Algorithms for Connectivity
100(7)
Fast Maximum-Flow Algorithms
107(5)
Testing Chordality
112(2)
Minimum Cuts
114(23)
Pendent Pairs in MA Orderings
114(3)
A Minimum-Cut Algorithm
117(2)
s-Proper k-Edge-Connected Spanning Subgraphs
119(4)
A Hierarchical Structure of MA Orderings
123(4)
Maximum Flows Between a Pendent Pair
127(3)
A Generalization of Pendent Pair
130(1)
Practically Efficient Minimum-Cut Algorithms
131(6)
Cut Enumeration
137(16)
Enumerating All Cuts
137(3)
Enumerating Small Cuts
140(5)
Enumerating Minimum Cuts
145(4)
Upper Bounds on the Number of Small Cuts
149(4)
Cactus Representations
153(38)
Canonical Forms of Cactus Representations
153(18)
(s, t)-Cactus Representations
171(9)
Constructing Cactus Representations
180(11)
Extreme Vertex Sets
191(26)
Computing Extreme Vertex Sets in Graphs
192(6)
Algorithm for Dynamic Edges Incident to a Specified Vertex
198(2)
Optimal Contraction Ordering
200(7)
Minimum k-Subpartition Problem
207(10)
Edge Splitting
217(29)
Preliminaries
217(3)
Edge Splitting in Weighted Graphs
220(6)
Edge Splitting in Multigraphs
226(6)
Other Splittings
232(5)
Detachments
237(3)
Applications of Splittings
240(6)
Connectivity Augmentation
246(36)
Increasing Edge-Connectivity by One
247(2)
Star Augmentation
249(3)
Augmenting Multigraphs
252(2)
Augmenting Weighted Graphs
254(22)
More on Augmentation
276(6)
Source Location Problems
282(22)
Source Location Problem Under Edge-Connectivity Requirements
283(12)
Source Location Problem Under Vertex-Connectivity Requirements
295(9)
Submodular and Posimodular Set Functions
304(53)
Set Functions
304(2)
Minimizing Submodular and Posimodular Functions
306(9)
Extreme Subsets in Submodular and Posimodular Systems
315(5)
Optimization Problems over Submodular and Posimodular Systems
320(16)
Extreme Points of Base Polyhedron
336(6)
Minimum Transversal in Set Systems
342(15)
Bibliography 357(14)
Index 371
Hiroshi Nagamochi is a professor at the Graduate School of Informatics, Kyoto University, Japan. He is a member of the Operations Research Society of Japan and the Information Processing Society. Toshihide Ibaraki is a Professor with Kwansei Gakuin University, Japan and Professor Emeritus of Kyoto University, Japan. He is a Fellow of the ACM and Operations Research Society of Japan.