Conditions for optimality which are both necessary and sufficient are given for convex programming in Banach spaces. They are derived under a rather weak geometrical assumption on the existence of a relative radial point in the feasible set. This assumption is superfluous in finite dimensions. Applications include a duality theorem without a constraint qualification, and a necessary and sufficient version of Pontryagin's principle for optimal control of a convex system.
展开▼
