SIAM Journal on Optimization
Strong Duality in Robust Convex Programming: Complete Characterizations
SIAM Journal on Optimization
A complete characterization of strong duality in nonconvex optimization with a single constraint
Journal of Global Optimization
Strong duality and minimal representations for cone optimization
Computational Optimization and Applications
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We establish necessary and sufficient conditions for a stable Farkas’ lemma. We then derive necessary and sufficient conditions for a stable duality of a cone-convex optimization problem, where strong duality holds for each linear perturbation of a given convex objective function. As an application, we obtain stable duality results for convex semi-definite programs and convex second-order cone programs.