Algorithmic Aspects of Graph Connectivity: 123

Algorithmic Aspects of Graph Connectivity: 123 book cover

Algorithmic Aspects of Graph Connectivity: 123

Author(s): Hiroshi Nagamochi (Author)

  • Publisher: Cambridge University Press
  • Publication Date: 16 May 2019
  • Language: English
  • Print length: 392 pages
  • ISBN-10: 1108735495
  • ISBN-13: 9781108735490

Book Description

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.

Editorial Reviews

Review

‘… 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

Book Description

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

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