Sensitivity analysis of optimization problems under second order regular constraints
成果类型:
Article
署名作者:
Bonnans, JF; Cominetti, R; Shapiro, A
署名单位:
Universidad de Chile; University System of Georgia; Georgia Institute of Technology
刊物名称:
MATHEMATICS OF OPERATIONS RESEARCH
ISSN/ISSBN:
0364-765X
DOI:
10.1287/moor.23.4.806
发表日期:
1998
页码:
806-831
关键词:
banach-spaces
perturbed optimization
nonlinear programs
tangent sets
qualification
projection
STABILITY
摘要:
We present a perturbation theory for finite dimensional optimization problems subject to abstract constraints satisfying a second order regularity condition. This is a technical condition that is always satisfied in the case of semi-definite optimization. We derive Lipschitz and Holder expansions of approximate optimal solutions, under a directional constraint qualification hypothesis and various second order sufficient conditions that take into account the curvature of the set defining the constraints of the problem. We show how the theory applies to semi-infinite programs in which the contact set is a smooth manifold and the quadratic growth condition in the constraint space holds, and discuss the differentiability of metric projections as well as the Moreau-Yosida regularization. Finally we show how the theory applies to semi-definite optimization.