× 2-convexifications for convex quadratic optimization with indicator variables

HIGHLIGHTS

  • who: Mathematics Subject Classification and colleagues from the University of Southern California, Los Angeles, CA, USA have published the research work: u00d7 2-Convexifications for convex quadratic optimization with indicator variables, in the Journal: (JOURNAL)
  • what: The authors propose conic quadratic extended formulations to describe cl conv(Z- ) and cl conv(Z+ ). General case: the authors develop an optimal SDP relaxation based on 2u00d72 convexifications for (QI) The authors show that (QI) includes the N P-hard subset sum problem as a special case under the assumptions of the proposition: given w u2208 Zn+, K . . .

     

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