Abstract
Any constraintg(x)≥0 is called a reverse convex constraint ifg: Rn→ R1 is a continuous convex function. This paper establishes a finite method for finding an optimal solution to a concave program with an additional reverse convex constraint. The method presented is a new approach to global optimization problems since it combines the idea of the branch and bound method with the idea of the cutting plane method.
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