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New strong duality results for convex programs with separable constraints

V. Jeyakumar and G. Li

European Journal of Operational Research, 2010, vol. 207, issue 3, 1203-1209

Abstract: It is known that convex programming problems with separable inequality constraints do not have duality gaps. However, strong duality may fail for these programs because the dual programs may not attain their maximum. In this paper, we establish conditions characterizing strong duality for convex programs with separable constraints. We also obtain a sub-differential formula characterizing strong duality for convex programs with separable constraints whenever the primal problems attain their minimum. Examples are given to illustrate our results.

Keywords: Strong; duality; Separable; convex; constraints; Constraint; qualifications; Convex; programming (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (8)

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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