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J. Kallrath, “Solving Planning and Design Problem in the Process Industry using Mixed-integer and Global Optimization,” Annals of Operations Research, Vol. 140, No. 1, 2005, pp. 335-373. doi:10.1007/s10479-005-3976-2

has been cited by the following article:

• TITLE: Complete Solutions to Mixed Integer Programming

  AUTHORS: Ning Ruan

  KEYWORDS: Duality Theory; Double Well; Global Optimization; Canonical Dual Transformation; Combinatorial Optimization; NP-hard Problems

  JOURNAL NAME: American Journal of Computational Mathematics, Vol.3 No.3B, October 25, 2013

  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.