Locating an Isolated Global Minimizer of a Constrained Nonconvex Program

Abstract
Conditions are given which verify the existence and determine the location of an isolated local constrained minimizer of a constrained nonconvex program. An exact formula is given for the amount by which the value of the objective function at some point differs from the value at that isolated point. Further conditions are given which ensure that the local minimizer is a global minimizer.

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