Mixed-Integer Models for Nonseparable Piecewise-Linear Optimization: Unifying Framework and Extensions

نویسندگان

  • Juan Pablo Vielma
  • Shabbir Ahmed
  • George L. Nemhauser
چکیده

We study the modeling of non-convex piecewise linear functions as Mixed Integer Programming (MIP) problems. We review several new and existing MIP formulations for continuous piecewise linear functions with special attention paid to multivariate non-separable functions. We compare these formulations with respect to their theoretical properties and their relative computational performance. In addition, we study the extension of these formulations to lower semicontinuous piecewise linear functions.

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عنوان ژورنال:
  • Operations Research

دوره 58  شماره 

صفحات  -

تاریخ انتشار 2010