An incomplete Lagrange function is introduced for a class of nonlinear programming problems which explains the reason behind the construction of the Mond᎐Weir᎐type dual. A mixed-type dual is presented for a class of fractional and generalized fractional programming problems, and various duality theorems are established. Several duals already reported in the literature follow as special cases of this study. ᮊ
An incomplete Lagrange function is used to study saddle point optimality criteria for a class of nonlinear programming problems under generalized convexity assumptions. This study is further extended to certain class of fractional and generalized fractional programming problems as well. ᮊ
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