Turkish Journal of Mathematics
Abstract
In this paper, the aim of this work to study mixed Lagrange function for the minimax fractional programming problem with nonsmooth exponential $(p,r)$-invex functions with respect to $\eta$. We introduced a new concept of saddle point for a mixed Lagrange function. We present the equivalence between a saddle point of the mixed Lagrange function and an optimal solution in the considered minimax fractional programming problem under appropriate nonsmooth exponential $(p,r)$-invexity hypotheses.
DOI
10.3906/mat-2011-91
Keywords
Minimax problem, exponential $(p, r)$-invex function, mixed Lagrange function
First Page
1678
Last Page
1688
Recommended Citation
HO, S (2021). Mixed Lagrange Function in Minimax Fractional Programming Problems. Turkish Journal of Mathematics 45 (4): 1678-1688. https://doi.org/10.3906/mat-2011-91
