Optimality and duality for generalized fractional programming involving nonsmooth \((F,\rho)\)-convex functions
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Publication:1816683
DOI10.1016/0898-1221(96)00106-XzbMath0860.90115MaRDI QIDQ1816683
Publication date: 27 November 1996
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Lipschitz functiongeneralized directional derivativegeneralized fractional programmingparametric approachnonsmooth generalized minimax fractional programming
Fractional programming (90C32) Convexity of real functions of several variables, generalizations (26B25)
Related Items (11)
Sufficient optimality criteria and duality for nondifferentiable fractional variational problems with generalized (F, ρ)-convexity ⋮ A fifth bibliography of fractional programming* ⋮ Optimality conditions for multiobjective programming with generalized \(({\mathfrak J},\rho,\theta)\)-convex set functions ⋮ Duality for nondifferentiable static multiobjective variational problems involving generalized \((F,\rho)\)-convex functions ⋮ Three types dual model for minimax fractional programming ⋮ A taxonomy and review of the multi-objective fractional programming (MOFP) problems ⋮ On minimax fractional optimality conditions with \((F,\rho)\)-convexity ⋮ Duality for a minimax programming problem containing \(n\)-set functions ⋮ Necessary and sufficient conditions for minimax fractional programming ⋮ Duality without a constraint qualification for minimax fractional programming ⋮ Optimality conditions and duality for a minimax fractional programming with generalized convexity
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