Mathematical Programs with Equilibrium Constraints

Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, Jean-Paul Watson and David L. Woodruff
Additional contact information
Michael L. Bynum: Sandia National Laboratories
Gabriel A. Hackebeil: Deepfield Nokia
William E. Hart: Sandia National Laboratories
Carl D. Laird: Sandia National Laboratories
Bethany L. Nicholson: Sandia National Laboratories
John D. Siirola: Sandia National Laboratories
Jean-Paul Watson: Lawrence Livermore National Laboratory
David L. Woodruff: University of California

Chapter Chapter 13 in Pyomo — Optimization Modeling in Python, 2021, pp 191-202 from Springer

Abstract: Abstract This chapter documents how to formulate mathematical programs with equilibrium constraints (MPECs), which naturally arise in a wide range of engineering and economic systems.We describe Pyomo components for complementarity conditions, transformation capabilities that automate the reformulation of MPEC models, and meta-solvers leveraging these transformations to support global and local optimization of MPEC models.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-68928-5_13

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DOI: 10.1007/978-3-030-68928-5_13

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