Duality for Fractional Minimax Programming<sup>∗</sup><sup>∗</sup>The research is partly supported by NSC, Taiwan.$ef:

Jen-Chwan. Liu, Ruey-Lin Sheu

Optimization · 1997 · 24 citations · 4 references

Concepts

Abstract

We establish the Kuhn-Tucker sufficient optimality conditions for a class of generalized minimax fractional programming involving pseudoconvex and quasiconvex functions. Subsequently, these optimality criteria are utilized as a basis for constructing three dual models and certain duality results have been derived in the framework of generalized convex functions

References

4