GLOBAL PARAMETRIC SUFFICIENT OPTIMALITY CONDITIONS FOR DISCRETE MINMAX FRACTIONAL PROGRAMMING PROBLEMS CONTAINING GENERALIZED $({\theta},\;{\eta},\;{\rho})-V-INVEX$ FUNCTIONS AND ARBITRARY NORMS

  • Zalmai, G.J. (Department of Mathematics and Computer Science, Northern Michigan University)
  • Published : 2007.01.31

Abstract

The purpose of this paper is to develop a fairly large number of sets of global parametric sufficient optimality conditions under various generalized $({\theta},\;{\eta},\;{\rho})-V-invexity$ assumptions for a discrete minmax fractional programming problem involving arbitrary norms.

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