Dual Characterizations of Set Containments with Strict Convex Inequalities
Journal of Global Optimization
Limiting ε-subgradient characterizations of constrained best approximation
Journal of Approximation Theory
Stability of the intersection of solution sets of semi-infinite systems
Journal of Computational and Applied Mathematics
On the stable containment of two sets
Journal of Global Optimization
Dual characterizations of the set containments with strict cone-convex inequalities in Banach spaces
Journal of Global Optimization
Set containment characterization for quasiconvex programming
Journal of Global Optimization
Limiting ε-subgradient characterizations of constrained best approximation
Journal of Approximation Theory
Set containment characterization with strict and weak quasiconvex inequalities
Journal of Global Optimization
SIAM Journal on Optimization
SIAM Journal on Optimization
CalCS: SMT solving for non-linear convex constraints
Proceedings of the 2010 Conference on Formal Methods in Computer-Aided Design
Duality and Farkas-type results for DC fractional programming with DC constraints
Mathematical and Computer Modelling: An International Journal
Operations Research Letters
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Dual characterizations of the containment of a closed convex set, defined by infinite convex constraints, in an arbitrary polyhedral set, in a reverse-convex set, defined by convex constraints, and in another convex set, defined by finite convex constraints, are given. A special case of these dual characterizations has played a key role in generating knowledge-based support vector machine classifiers which are powerful tools in data classification and mining. The conditions in these dual characterizations reduce to simple nonasymptotic conditions under Slater's constraint qualification.