Generalized \((\mathcal{F},b,\phi,\rho,\theta)\)-univex \(n\)-set functions and global parametric sufficient optimality conditions in minmax fractional subset programming (Q2575930)

Summary: We first define a new class of generalized convex \(n\)-set functions, called \((\mathcal{F},b,\phi,\rho,\theta)\)-univex functions, and then establish a fairly large number of global parametric sufficient optimality conditions under a variety of generalized \((\mathcal{F},b,\phi,\rho,\theta)\)-univexity assumptions for a discrete minmax fractional subset programming problem.