Modelling Rank Constraints in Mathematical Programming

نویسندگان

  • Gustavo Dias
  • Leo Liberti
  • Nelson Maculan
چکیده

Several problems in optimization and control involve a matrix of decision variables to be subject to a rank constraint. Although semidefinite programming is used as a generalpurpose tool to provide strong relaxations of such problems, finding feasible solutions mostly relies on algorithmic techniques specific to the problem at hand. We present models for expressing rank constraints using mathematical programming, that provide a general-purpose method to find feasible solutions. Our models were tested against the classical Distance Geometry Problem.

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تاریخ انتشار 2012