Abstract:
The gradient projection method is generalized to nonconvex sets of constraints representing the set-theoretic difference of a set of points of a smooth surface and the union of a finite number of convex open sets. Necessary optimality conditions are examined, and the convergence of the method is analyzed.
Key words:smooth surface, convex open set, gradient projection method, necessary conditions for a local minimum.
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