Terry L. Friesz, David Bernstein

Foundations of Network Optimization and Games (eBook, PDF)

• Format: PDF

Produktbeschreibung

This is a book about infrastructure networks that are intrinsically nonlinear. The networks considered range from vehicular networks to electric power networks to data networks.

The main point of view taken is that of mathematical programming in concert with finite-dimensional variational inequality theory. The principle modeling perspectives are network optimization, the theory of Nash games, and mathematical programming with equilibrium constraints. Computational methods and novel mathematical formulations are emphasized. Among the numerical methods explored are network simplex, gradient projection, fixed-point, gap function, Lagrangian relaxation, Dantzig-Wolfe decomposition, simplicial decomposition, and computational intelligence algorithms.

Many solved example problems are included that range from simple to quite challenging. Theoretical analyses of several models and algorithms, to uncover existence, uniqueness and convergence properties, are undertaken. The bookis meant for use in advanced undergraduate as well as doctoral courses taught in civil engineering, industrial engineering, systems engineering, and operations research degree programs. At the same time, the book should be a useful resource for industrial and university researchers engaged in the mathematical modeling and numerical analyses of infrastructure networks.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 504
• Erscheinungstermin: 30. September 2015
• Englisch
• ISBN-13: 9781489975942
• Artikelnr.: 43909962

Inhaltsangabe

Introduction.- Elements of Nonlinear Programming.- Elements of Graph Theory.- Programs with Network Structure.- Near-Network and Large-Scale Programs.- Normative Network Models and Their Solution.- Nash Games.- Network Traffic Assignment.- Spatial Price Equilibrium on Networks.- Network Stackelberg Games and Mathematical Programs with Equilibrium Constraints.

Rezensionen

"This book is about nonlinear deterministic network models. ... Each chapter is self-contained and has its own reference list. The book's main aim is to present a tool kit to model and solve complex network problems in practice. ... It is easy to follow the exposition. ... this book provides a good guideline for first and second reading." (Mechthild Opperud, Mathematical Reviews, June, 2016)

"The book presents an excellent comprehensive introduction to the area of network flow problems, where not only a system optimum is searched, but also the behaviour of competing non-cooperative users is taken into account. ... Generally, it can be stated that the book constitutes a precious guide for researchers and advanced students to the field of network flow problems." (Jaroslav Janácek, zbMATH 1344.90062, 2016)