× 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 . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.