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Advances in Nonlinear Network Models and Algorithms

  • John M. Mulvey
Conference paper
Part of the NATO ASI Series book series (volume 51)

Abstract

Network models with nonlinear objectives occur in numerous economic, engineering and management applications. These areas are described, along with highly specialized nonlinear programming algorithms for solving the resulting large-scale problems. It is shown that nonlinear network models can be handled efficiently using serial or vector processing computers. Extensions to stochastic programs are discussed.

Keywords

Stochastic Program Social Account Matrix Federal Aviation Administration Simplicial Decomposition Nonlinear Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1989

Authors and Affiliations

  • John M. Mulvey
    • 1
  1. 1.Department of Civil Engineering and Operations ResearchPrinceton University School of Engineering and Applied SciencePrincetonUSA

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