Sufficient conditions and duality theorems for nondifferentiable minimax fractional programming
Summary: We consider nondifferentiable minimax fractional programming problems involving \(B\)-\((p,r)\)-invex functions with respect to \(\eta\) and \(b\). Sufficient optimality conditions and duality results for a class of nondifferentiable minimax fractional programming problems are obtained under \(B\)-\((p,r)\)-invexity assumption on objective and constraint functions. Parametric duality, Mond-Weir duality, and Wolfe duality problems may be formulated, and duality results are derived under \(B\)-\((p,r)\)-invex functions.
scientific article; zbMATH DE number 5905126