Duality Gap Estimation of Linear Equality Constrained Binary Quadratic Programming

  • Authors:
  • Xiaojin Zheng;Xiaoling Sun;Duan Li;Yong Xia

  • Affiliations:
  • Department of Management Science, School of Management, Fudan University, 200433 Shanghai, P. R. China;Department of Management Science, School of Management, Fudan University, 200433 Shanghai, P. R. China;Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N. T., Hong Kong;School of Mathematics and System Sciences, Beihang University, 100191 Beijing, P. R. China

  • Venue:
  • Mathematics of Operations Research
  • Year:
  • 2010

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Abstract

We investigate in this paper the Lagrangian duality properties of linear equality constrained binary quadratic programming. We derive an underestimation of the duality gap between the primal problem and its Lagrangian dual or SDP relaxation, using the distance from the set of binary integer points to certain affine subspace, while the computation of this distance can be achieved by the cell enumeration of hyperplane arrangement. Alternative Lagrangian dual schemes via the exact penalty and the squared norm constraint reformulations are also discussed.