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Rates of Stability in Nonlinear Programming

Rates of stability in nonlinear programming
Authors: Stern, Michael H.; Topkis, Donald M.;

Rates of Stability in Nonlinear Programming

Abstract

We give conditions on a nonlinear programming problem for the set of feasible solutions to have stability on the order of a Lipschitz condition. These results then imply conditions for the optimal value of the objective function to satisfy a Lipschitz condition with respect to the right-hand side vector as well as for the set of ϵ-optimal solutions to have stability on the order of a Lipschitz condition. Results are obtained both with and without convexity assumptions.

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Keywords

Nonlinear programming, Sensitivity, stability, well-posedness

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Average
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