Algorithmic aspects of graph connectivity / Hiroshi Nagamochi, Toshihide Ibaraki.

Nagamochi, Hiroshi, 1960-
Call Number
511/.5
Author
Nagamochi, Hiroshi, 1960- author.
Title
Algorithmic aspects of graph connectivity / Hiroshi Nagamochi, Toshihide Ibaraki.
Physical Description
1 online resource (xv, 375 pages) : digital, PDF file(s).
Series
Encyclopedia of mathematics and its applications ; volume 123
Notes
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Contents
Maximum adjacency ordering and forest decompositions -- Minimum cuts -- Cut enumeration -- Cactus representations -- Extreme vertex sets -- Edge splitting -- Connectivity augmentation -- Source location problems -- Submodular and posimodular set functions.
Summary
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 thoroughly 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.
Added Author
Ibaraki, Toshihide, author.
Subject
GRAPH CONNECTIVITY.
Graph algorithms.
Multimedia
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$a 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 thoroughly 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.
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Summary
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 thoroughly 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.
Notes
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Contents
Maximum adjacency ordering and forest decompositions -- Minimum cuts -- Cut enumeration -- Cactus representations -- Extreme vertex sets -- Edge splitting -- Connectivity augmentation -- Source location problems -- Submodular and posimodular set functions.
Subject
GRAPH CONNECTIVITY.
Graph algorithms.
Multimedia