Characterizing optimality in nonconvex optimization

Characterizing optimality in nonconvex optimization

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Article ID: iaor19932386
Country: Serbia
Volume: 1
Start Page Number: 3
End Page Number: 14
Publication Date: Dec 1991
Journal: Yugoslav Journal of Operations Research
Authors:
Abstract:

A saddle-point condition, that is both necessary and sufficient for a feasible point to be globally optimal, is given for a large class of nonconvex programming problems. The condition assumes lower semicontinuity of the feasible set point-to-set mapping.

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