AbstractWe establish the sufficient conditions for generalized fractional programming in the framework of (F,ρ)-convex functions. When the sufficient conditions are utilized, one parametric dual problem and two parametric free dual problems may be formulated and duality results are derived
AbstractWe derive necessary and sufficient optimality conditions for the discrete minimax programmin...
AbstractGeneralized ρ-convexity assumptions are imposed on a few of the functions involved in the ob...
AbstractIn this paper, we are concerned with a nondifferentiable minimax fractional problem with ine...
AbstractWe establish the sufficient conditions for generalized fractional programming in the framewo...
AbstractWe establish the necessary and sufficient optimality conditions for a class of nondifferenti...
AbstractUnder different forms of invexity conditions, sufficient Kuhn–Tucker conditions and three du...
Abstract. We establish sufficient optimality conditions for a class of nondif-ferentiable minimax fr...
AbstractWe establish the sufficient conditions for generalized fractional programming from a viewpoi...
Abstract: In this paper, we discuss nondifferentiable minimax fractional programming problem where t...
AbstractIn this paper, we present numerous sets of nonparametric sufficient optimality conditions an...
AbstractUsing a parametric approach, we establish necessary and sufficient conditions and derive dua...
In this paper, we discuss nondifferentiable minimax fractional programming problem where the involve...
AbstractOptimality conditions are proved for a class of generalized fractional minimax programming p...
AbstractBoth parametric and nonparametric necessary and sufficient optimality conditions are establi...
AbstractWe establish necessary and sufficient optimality conditions for minimax fractional programmi...
AbstractWe derive necessary and sufficient optimality conditions for the discrete minimax programmin...
AbstractGeneralized ρ-convexity assumptions are imposed on a few of the functions involved in the ob...
AbstractIn this paper, we are concerned with a nondifferentiable minimax fractional problem with ine...
AbstractWe establish the sufficient conditions for generalized fractional programming in the framewo...
AbstractWe establish the necessary and sufficient optimality conditions for a class of nondifferenti...
AbstractUnder different forms of invexity conditions, sufficient Kuhn–Tucker conditions and three du...
Abstract. We establish sufficient optimality conditions for a class of nondif-ferentiable minimax fr...
AbstractWe establish the sufficient conditions for generalized fractional programming from a viewpoi...
Abstract: In this paper, we discuss nondifferentiable minimax fractional programming problem where t...
AbstractIn this paper, we present numerous sets of nonparametric sufficient optimality conditions an...
AbstractUsing a parametric approach, we establish necessary and sufficient conditions and derive dua...
In this paper, we discuss nondifferentiable minimax fractional programming problem where the involve...
AbstractOptimality conditions are proved for a class of generalized fractional minimax programming p...
AbstractBoth parametric and nonparametric necessary and sufficient optimality conditions are establi...
AbstractWe establish necessary and sufficient optimality conditions for minimax fractional programmi...
AbstractWe derive necessary and sufficient optimality conditions for the discrete minimax programmin...
AbstractGeneralized ρ-convexity assumptions are imposed on a few of the functions involved in the ob...
AbstractIn this paper, we are concerned with a nondifferentiable minimax fractional problem with ine...
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