Duality for non-linear programming in aBanach space
Copyright policy )Duality for non-linear programming in aBanach space
A constrained maximization problem in a realBanach space is considered, where the objective function is a non-linear pseudo concave functional and constraints are given bym non linear quasi convex functionals. The optimality conditions and converse duality theorem, given byRitter, have been extended to this class of programming problems.
Nonlinear programming, Applications of functional analysis in optimization, convex analysis, mathematical programming, economics, Optimality conditions and duality in mathematical programming, operations research
Nonlinear programming, Applications of functional analysis in optimization, convex analysis, mathematical programming, economics, Optimality conditions and duality in mathematical programming, operations research
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!