Sensitivity analysis of parametrized programs via generalized equations

Sensitivity analysis of parametrized programs via generalized equations

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Article ID: iaor19941612
Country: United States
Volume: 32
Issue: 2
Start Page Number: 553
End Page Number: 571
Publication Date: Mar 1994
Journal: SIAM Journal on Control and Optimization
Authors:
Keywords: lagrange multipliers
Abstract:

This paper investigates local behavior of optimal solutions of parameterized optimization problems with cone constraints in Banach spaces. The corresponding first-order optimality conditions are formulated in a form of generalized equations (variational inequalities) and solutions of these generalized equations are studied. It is shown that under certain second-order sufficient optimality conditions and a regularity assumption related to the associated Lagrange multipliers, the considered optimal solutions are Lipschitzian stable. This is compared with a similar result in Shapiro and Bonnans. Under the additional assumption of uniqueness of the Lagrange multipliers, first-order expansions of the optimal solutions are given in terms of solutions of auxiliary optimization problems. Finally, as an example, semi-infinite programming problems are discussed.

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