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Zero duality gap for a class of nonconvex optimization problems
Authors:D Li
Institution:(1) Department of Systems Engineering and Engineering Management, Chinese University of Hong Kong, Shatin, New Territories, Hong Kong
Abstract:By an equivalent transformation using thepth 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.The author very much appreciates the comments from Prof. Douglas J. White.
Keywords:Nonconvex optimization  nonlinear programming  saddle points  duality  primal-dual methods
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