Abstract
We focus on studying stochastic nonlinear complementarity problems (SNCP) and stochastic mathematical programs with equilibrium constraints (SMPEC). Instead of the NCP functions employed in the literature, we use the restricted NCP functions to define expected residual minimization formulations for SNCP and SMPEC. We then discuss level set conditions and error bounds of the new formulation. Examples show that the new formulations have some desirable properties that the existing ones do not have.
Original language | English |
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Pages (from-to) | 641-653 |
Number of pages | 13 |
Journal | Optimization |
Volume | 56 |
Issue number | 5-6 |
DOIs | |
Publication status | Published - 1 Oct 2007 |
Externally published | Yes |
Keywords
- Error bound
- Level set
- NCP function
- Restricted NCP function
- Stochastic complementarity problem
- Stochastic mathematical program with equilibrium constraints
ASJC Scopus subject areas
- Applied Mathematics
- Control and Optimization
- Management Science and Operations Research