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Complete Solutions to Mixed Integer Programming

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DOI: 10.4236/ajcm.2013.33B005    3,688 Downloads   5,528 Views   Citations
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ABSTRACT

This paper considers a new canonical duality theory for solving mixed integer quadratic programming problem. It shows that this well-known NP-hard problem can be converted into concave maximization dual problems without duality gap. And the dual problems can be solved, under certain conditions, by polynomial algorithms.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

N. Ruan, "Complete Solutions to Mixed Integer Programming," American Journal of Computational Mathematics, Vol. 3 No. 3B, 2013, pp. 27-30. doi: 10.4236/ajcm.2013.33B005.

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