The identification of convex function on riemannian manifold

Abstract

The necessary and sufficient condition of convex function is significant in nonlinear convex programming. This paper presents the identification of convex function on Riemannian manifold by use of Penot generalized directional derivative and the Clarke generalized gradient. Our objective here is to extend the content and proof the necessary and sufficient condition of convex function to Riemannian manifolds.