Description

Book Synopsis
This book is concerned with the optimization problem of maximizing the number of spanning trees of a multigraph. Since a spanning tree is a minimally connected subgraph, graphs and multigraphs having more of these are, in some sense, immune to disconnection by edge failure. We employ a matrix-theoretic approach to the calculation of the number of spanning trees.The authors envision this as a research aid that is of particular interest to graduate students or advanced undergraduate students and researchers in the area of network reliability theory. This would encompass graph theorists of all stripes, including mathematicians, computer scientists, electrical and computer engineers, and operations researchers.

Table of Contents
Graph Theory Background; Matrix Theory Background, including Kroenecker Products, and Proofs of the Binet - Cauchy and Courant - Fischer Theorems; Spanning Tree Results for a Host of Graphs as well as Multigraphs; Node-Arc Incidence Matrix; Temperley's B Matrix. Multigraphs; Eigenvalues and Eigenvalue Bounds; A Lagrange Multiplier Approach to the Spanning Tree Problem.

Spanning Tree Results For Graphs And Multigraphs:

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    A Hardback by John T Saccoman, Daniel J Gross, Charles L Suffel

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      View other formats and editions of Spanning Tree Results For Graphs And Multigraphs: by John T Saccoman

      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: 23/10/2014
      ISBN13: 9789814566032, 978-9814566032
      ISBN10: 9814566039

      Description

      Book Synopsis
      This book is concerned with the optimization problem of maximizing the number of spanning trees of a multigraph. Since a spanning tree is a minimally connected subgraph, graphs and multigraphs having more of these are, in some sense, immune to disconnection by edge failure. We employ a matrix-theoretic approach to the calculation of the number of spanning trees.The authors envision this as a research aid that is of particular interest to graduate students or advanced undergraduate students and researchers in the area of network reliability theory. This would encompass graph theorists of all stripes, including mathematicians, computer scientists, electrical and computer engineers, and operations researchers.

      Table of Contents
      Graph Theory Background; Matrix Theory Background, including Kroenecker Products, and Proofs of the Binet - Cauchy and Courant - Fischer Theorems; Spanning Tree Results for a Host of Graphs as well as Multigraphs; Node-Arc Incidence Matrix; Temperley's B Matrix. Multigraphs; Eigenvalues and Eigenvalue Bounds; A Lagrange Multiplier Approach to the Spanning Tree Problem.

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