AbstractBoth parametric and nonparametric necessary and sufficient optimality conditions are established for a class of complex nondifferentiable fractional programming problems containing generalized convex functions. Subsequently, these optimality criteria are utilized as a basis for constructing one parametric and two other parameter-free dual models with appropriate duality theorems
AbstractThe concept of invexity has allowed the convexity requirements in a variety of mathematical ...
AbstractIn this paper, we present numerous sets of nonparametric sufficient optimality conditions an...
In this paper, a class of nonconvex nondifferentiable generalized minimax fractional programming pro...
AbstractWe show that a minimax fractional programming problem is equivalent to a minimax nonfraction...
AbstractBoth parametric and nonparametric necessary and sufficient optimality conditions are establi...
Abstract. We establish sufficient optimality conditions for a class of nondif-ferentiable minimax fr...
Optimality conditions in generalized fractional programming involving nonsmooth Lipschitz functions ...
AbstractUsing a parametric approach, we establish necessary and sufficient conditions and derive dua...
AbstractWe establish the sufficient conditions for generalized fractional programming in the framewo...
We start our discussion with a class of nondifferentiable minimax programming problems in complex sp...
AbstractBoth parametric and nonparametric necessary and sufficient optimality conditions are establi...
AbstractWe establish necessary and sufficient optimality conditions for minimax fractional programmi...
AbstractWe establish the sufficient conditions for generalized fractional programming from a viewpoi...
Abstract. In this paper, we consider a class of nondifferentiable multiobjective fractional programs...
AbstractWe derive necessary and sufficient optimality conditions for the discrete minimax programmin...
AbstractThe concept of invexity has allowed the convexity requirements in a variety of mathematical ...
AbstractIn this paper, we present numerous sets of nonparametric sufficient optimality conditions an...
In this paper, a class of nonconvex nondifferentiable generalized minimax fractional programming pro...
AbstractWe show that a minimax fractional programming problem is equivalent to a minimax nonfraction...
AbstractBoth parametric and nonparametric necessary and sufficient optimality conditions are establi...
Abstract. We establish sufficient optimality conditions for a class of nondif-ferentiable minimax fr...
Optimality conditions in generalized fractional programming involving nonsmooth Lipschitz functions ...
AbstractUsing a parametric approach, we establish necessary and sufficient conditions and derive dua...
AbstractWe establish the sufficient conditions for generalized fractional programming in the framewo...
We start our discussion with a class of nondifferentiable minimax programming problems in complex sp...
AbstractBoth parametric and nonparametric necessary and sufficient optimality conditions are establi...
AbstractWe establish necessary and sufficient optimality conditions for minimax fractional programmi...
AbstractWe establish the sufficient conditions for generalized fractional programming from a viewpoi...
Abstract. In this paper, we consider a class of nondifferentiable multiobjective fractional programs...
AbstractWe derive necessary and sufficient optimality conditions for the discrete minimax programmin...
AbstractThe concept of invexity has allowed the convexity requirements in a variety of mathematical ...
AbstractIn this paper, we present numerous sets of nonparametric sufficient optimality conditions an...
In this paper, a class of nonconvex nondifferentiable generalized minimax fractional programming pro...