On Quadratic Programming with a Ratio Objective

نویسندگان

  • Aditya Bhaskara
  • Moses Charikar
  • Rajsekar Manokaran
  • Aravindan Vijayaraghavan
چکیده

Quadratic Programming (QP) is the well-studied problem of maximizing over {−1, 1} values the quadratic form ∑ i6=j aijxixj . QP captures many known combinatorial optimization problems, and assuming the unique games conjecture, semidefinite programming techniques give optimal approximation algorithms. We extend this body of work by initiating the study of Quadratic Programming problems where the variables take values in the domain {−1, 0, 1}. The specific problems we study are QP-Ratio : max {−1,0,1} ∑ i6=j aijxixj ∑ x2i , and Normalized QP-Ratio : max {−1,0,1} ∑ i6=j aijxixj ∑ dix2i .

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تاریخ انتشار 2012