Using the duality principle to improve lower bounds for the global minimum in nonconvex optimization
نویسنده
چکیده
Shary considers the method “to turn out better than the traditional techniques from [11, 6, 8] in either the computational efficacy and the quality of the results it produces”. Although Shary presents it as an isolated phenomenon, it turns out that the graph subdivision method is intimately intertwined with a variety of methods in optimization. It is the purpose of this paper to present a unified framework in which the graph subdivision method can be appreciated. Foremost among these is the venerable principle of considering not only the primal formulation of the optimization problem, but also its dual. Hence the title.
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تاریخ انتشار 2004