The convexity assumptions for a minimax fractional programming problem of variational type are relaxed to those of a generalised invexity situation. Sufficient optimality conditions are established under some specific assumptions. Employing the existence of a solution for the minimax variational fractional problem, three dual models, the Wolfe type dual, the Mond-Weir type dual and a one parameter dual type, are constructed. Several duality theorems concerning weak, strong and strict converse duality under the framework of invexity are proved
AbstractWe derive necessary and sufficient optimality conditions for the discrete minimax programmin...
A new dual type for ratio of integral variational programming is constructed by mixing the Wolfe typ...
ABSTRACT The Karush-Kuhn-Tucker type necessary optimality conditions are given for the nonsmooth min...
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AbstractOptimality conditions are proved for a class of generalized fractional minimax programming p...
Abstract. We establish sufficient optimality conditions for a class of nondif-ferentiable minimax fr...
AbstractWe establish necessary and sufficient optimality conditions for minimax fractional programmi...
AbstractIn the present paper, we discuss the optimality condition for an optimal solution to the pro...
In this paper, a class of nonconvex nondifferentiable generalized minimax fractional programming pro...
AbstractUnder different forms of invexity conditions, sufficient Kuhn–Tucker conditions and three du...
AbstractWe establish the sufficient conditions for generalized fractional programming in the framewo...
AbstractOptimality conditions are proved for a class of generalized fractional minimax programming p...
AbstractIn this paper, we study a non-differentiable minimax fractional programming problem under th...
AbstractThe concept of invexity has allowed the convexity requirements in a variety of mathematical ...
AbstractWe derive necessary and sufficient optimality conditions for the discrete minimax programmin...
A new dual type for ratio of integral variational programming is constructed by mixing the Wolfe typ...
ABSTRACT The Karush-Kuhn-Tucker type necessary optimality conditions are given for the nonsmooth min...
Abstract In this article, we are concerned with a nondifferentiable minimax fractional programming p...
AbstractWe establish the sufficient conditions for generalized fractional programming from a viewpoi...
AbstractOptimality conditions are proved for a class of generalized fractional minimax programming p...
Abstract. We establish sufficient optimality conditions for a class of nondif-ferentiable minimax fr...
AbstractWe establish necessary and sufficient optimality conditions for minimax fractional programmi...
AbstractIn the present paper, we discuss the optimality condition for an optimal solution to the pro...
In this paper, a class of nonconvex nondifferentiable generalized minimax fractional programming pro...
AbstractUnder different forms of invexity conditions, sufficient Kuhn–Tucker conditions and three du...
AbstractWe establish the sufficient conditions for generalized fractional programming in the framewo...
AbstractOptimality conditions are proved for a class of generalized fractional minimax programming p...
AbstractIn this paper, we study a non-differentiable minimax fractional programming problem under th...
AbstractThe concept of invexity has allowed the convexity requirements in a variety of mathematical ...
AbstractWe derive necessary and sufficient optimality conditions for the discrete minimax programmin...
A new dual type for ratio of integral variational programming is constructed by mixing the Wolfe typ...
ABSTRACT The Karush-Kuhn-Tucker type necessary optimality conditions are given for the nonsmooth min...