An elimination condition to check the validity of the principle of optimality

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Abstract

In this paper, a simple elimination condition is introduced that may help in the verification or falsification of the principle of optimality and in deriving rigorously dynamic programming algorithms. Through two examples of single objective optimization, it is shown how the elimination condition can be used to rigorously derive dynamic programming schemes. The multiobjective optimization case, where the elimination approach was developed earlier, is then briefly reviewed. Through two examples of game theory, it is demonstrated how the elimination condition is a necessary condition for the principle of optimality to hold. In these game examples, the elimination condition and the principle of optimality do not hold.

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Kyösti Tarvainen is a Senior Research Scientist at the Rolf Nevanlinna Institute, Helsinki University. He holds the Master of Science (Technical Physics) and Licentiate of Technology (Mathematics) from the Helsinki University of Technology and the Ph.D. (Systems Engineering) from Case Western Reserve. His current professional interests are multiobjective optimization and industrial mathematics.

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