Abstract
One of the fundamental questions in nonlinear optimization is how optimization problems behave when the functions defining them change (e.g., by continuous deformation). Recently the study of epi-continuity has somewhat unified the results in this area. Here we show how to localize the concept of epi-continuity, and how to apply these localized ideas to ensure persistence and stability of local optimizing sets. We also show how these conditions follow from known properties of nonlinear programming problems.
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Sponsored by the National Science Foundation under Grant Nos. MCS-8200632, Mod. 2, and DCR-8502202, and by the United States Army under Contract No. DAAG29-80-C-0041 at the University of Wisconsin-Madison. The first version of this paper was written at the International Institute for Applied Systems Analysis, Laxenburg, Austria, during the author's visit there in May and June of 1983. It appeared as IIASA Collaborative Paper CP-84-5.
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Robinson, S.M. Local epi-continuity and local optimization. Mathematical Programming 37, 208–222 (1987). https://doi.org/10.1007/BF02591695
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DOI: https://doi.org/10.1007/BF02591695