Lifting mathematical programs with complementarity constraints

成果类型:
Article
署名作者:
Stein, Oliver
署名单位:
Helmholtz Association; Karlsruhe Institute of Technology
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-010-0345-y
发表日期:
2012
页码:
71-94
关键词:
search filter methods elastic-mode CONVERGENCE point Penalization set regularization stationarity algorithms STABILITY
摘要:
We present a new smoothing approach for mathematical programs with complementarity constraints, based on the orthogonal projection of a smooth manifold. We study regularity of the lifted feasible set and, since the corresponding optimality conditions are inherently degenerate, introduce a regularization approach involving a novel concept of tilting stability. A correspondence between the C-index in the original problem and the quadratic index in the lifted problem is shown. In particular, a local minimizer of the mathematical program with complementarity constraints may numerically be found by minimization of the lifted, smooth problem. We report preliminary computational experience with the lifting approach.