Sensitivity analysis for cone-constrained optimization problems under the relaxed constraint qualifications

We present the local sensitivity analysis for cone-constrained optimization problems under the CQ-type conditions significantly weaker than those traditionally used in this context. Our basic sensitivity results are established under the first or second-order sufficient optimality conditions combined with the estimate of the distance to the feasible set of the perturbed problem. We demonstrate how such an estimate can be obtained under the assumptions weaker than Robinson's CQ, and establish the corresponding sensitivity results. Finally, we apply our results to sensitivity analysis and relaxation schemes for mathematical programs with complementarity constraints. © 2005 INFORMS.

Authors
Arutyunov A.V. 1 , Izmailov A.F.2
Number of issue
2
Language
English
Pages
333-353
Status
Published
Volume
30
Year
2005
Organizations
  • 1 Peoples Friendship University, Miklukho-Maklaya Str. 6, 117198 Moscow, Russian Federation
  • 2 Moscow State University, Faculty of Computational Mathematics and Cybernetics, Department of Operations Research, Leninskiye Gori, 119992 Moscow, Russian Federation
Keywords
Abnormal point; Cone-constrained problem; Constraint qualification; Mathematical program with complementarity constraints; Parametric optimization; Sensitivity analysis; Sufficient optimality condition
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