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Network Science, Nonlinear Science and Infrastructure Systems

  • Terry L. Friesz

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 102)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Shaun Lichter, Terry L. Friesz
    Pages 7-52
  3. Terry L. Friesz, Reetabrata Mookherjee, Srinivas Peeta
    Pages 53-75
  4. Kingsley E. Haynes, Rajendra G. Kulkarni, Roger R. Stough
    Pages 123-146
  5. Aura Reggiani, Sandra Vinciguerra
    Pages 147-165
  6. Sean P. Gorman, Roberto Patuelli, Aura Reggiani, Peter Nijkamp, Rajendra Kulkarni, Günter Haag
    Pages 167-185
  7. Elaine Chang, Athanasios Ziliaskopoulos
    Pages 201-222
  8. Soulaymane Kachani, Georgia Perakis, Carine Simon
    Pages 223-267
  9. Hillel Bar-Gera, David Boyce
    Pages 305-335
  10. Back Matter
    Pages 337-364

About this book

Introduction

Network Science, Nonlinear Science and Infrastructure Systems has been written by leading scholars in these areas. Its express purpose is to develop common theoretical underpinnings to better solve modern infrastructural problems. It is felt by many who work in these fields that many modern communication problems, ranging from transportation networks to telecommunications, Internet, supply chains, etc., are fundamentally infrastructure problems. Moreover, these infrastructure problems would benefit greatly from a confluence of theoretical and methodological work done with the areas of Network Science, Dynamical Systems and Nonlinear Science. This book is dedicated to the formulation of infrastructural tools that will better solve these types of infrastructural problems.

 

Keywords

Chaos Internet algorithm communication modeling online simulation

Editors and affiliations

  • Terry L. Friesz
    • 1
  1. 1.Pennsylvania State UniversityUniversity ParkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-71134-1
  • Copyright Information Springer Science+Business Media, LLC 2007
  • Publisher Name Springer, Boston, MA
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-71080-8
  • Online ISBN 978-0-387-71134-8
  • Series Print ISSN 0884-8289
  • Buy this book on publisher's site