Necessary and sufficient conditions for strong quasiconvexity of norms on convex sets are established in finite-dimensional spaces, with initial results on distance functions.
On strong quasiconvexity of functions in infinite dimensions
2 Pith papers cite this work. Polarity classification is still indexing.
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math.OC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Refined KKT and FJ optimality conditions are derived for nonconvex programs with strongly quasiconvex constraints using the strong subdifferential and its application to the normal cone of the supremum function.
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On the Strong Quasiconvexity of Norms and Distance Functions
Necessary and sufficient conditions for strong quasiconvexity of norms on convex sets are established in finite-dimensional spaces, with initial results on distance functions.
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On Optimality Conditions for Mathematical Programming Problems Based on Strong Subdifferentials
Refined KKT and FJ optimality conditions are derived for nonconvex programs with strongly quasiconvex constraints using the strong subdifferential and its application to the normal cone of the supremum function.