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- W3040036692 abstract "We provide three new proofs of the strong concavity of the dual function of some convex optimization problems. For problems with nonlinear constraints, we show that the the assumption of strong convexity of the objective cannot be weakened to convexity and that the assumption that the gradients of all constraints at the optimal solution are linearly independent cannot be further weakened. Finally, we illustrate our results with several examples." @default.
- W3040036692 created "2020-07-10" @default.
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- W3040036692 date "2020-06-27" @default.
- W3040036692 modified "2023-09-27" @default.
- W3040036692 title "On the strong concavity of the dual function of an optimization problem" @default.
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- W3040036692 hasPublicationYear "2020" @default.
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