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Linearized M-stationarity Conditions for General Optimization Problems

  • Helmut Gfrerer
Article
  • 12 Downloads

Abstract

This paper investigates new first-order optimality conditions for general optimization problems. These optimality conditions are stronger than the commonly used M-stationarity conditions and are in particular useful when the latter cannot be applied because the underlying limiting normal cone cannot be computed effectively. We apply our optimality conditions to a MPEC to demonstrate their practicability.

Keywords

M-stationarity conditions Limiting normal cone Regular normal cone Mathematical programs with equilibrium constraints 

Mathematics Subject Classification (2010)

49J40 49J52 90C 

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Notes

Acknowledgments

The research was partially supported by the Austrian Science Fund (FWF) under grant P29190-N32.

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Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.Institute of Computational MathematicsJohannes Kepler University (JKU) LinzLinzAustria

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