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Zero duality gap for a class of nonconvex optimization problems

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

By an equivalent transformation using the pth power of the objective function and the constraint, a saddle point can be generated for a general class of nonconvex optimization problems. Zero duality gap is thus guaranteed when the primal-dual method is applied to the constructed equivalent form.
Original languageEnglish
Pages (from-to)309-324
JournalJournal of Optimization Theory and Applications
Volume85
Issue number2
DOIs
Publication statusPublished - May 1995
Externally publishedYes

Research Keywords

  • duality
  • Nonconvex optimization
  • nonlinear programming
  • primal-dual methods
  • saddle points

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