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Publikováno v:
Proceedings of the 2010 American Control Conference.
Constraint reduction has been proposed, in the context of linear and quadratic primal-dual interior-point optimization, as an approach for efficiently handling problems in which the number of inequality constraints far exceeds that of decision variab