Minimax fractional programming with nondifferentiable $(G, \beta)$-invexity

Yuan Dehui


In this  paper,  we consider the  minimax fractional programming
Problem  (FP) in which the functions are locally Lipschitz $(G, \beta)$-invex.
With the help of a useful auxiliary minimax programming problem, we obtain not only $G$-sufficient but also $G$-necessary optimality conditions theorems for the Problem (FP). With $G$-necessary
optimality conditions and $(G, \beta)$-invexity in the hand,
we further construct  dual  Problem (D) for  the primal one (FP)
and prove  duality results between Problems (FP) and (D).
These results extend several known results to a wider class of

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