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Nonlinear programming with applications to production processes

  • T. Bosse, A. Griewank, R. Henrion, D. Hömberg, C.
  • 2014
  • DOI: 10.4171/137
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Nonlinear programming is a key technology for finding optimal decisions in production processes. It applies to optimal control as well as to operations research, to deterministic as well as to stochastic models. The efficient solution of nonlinear programs requires both, a good structural understanding of the underlying optimization problems and the use of tailored algorithmic approaches mainly based on SQP methods. The present chapter provides an account of the work in three MATHEON-projects with various applications and aspects of nonlinear programming in production.

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