The identification of convex function on Riemannian manifold (Q1718022)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: The identification of convex function on Riemannian manifold |
scientific article; zbMATH DE number 7016048
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | The identification of convex function on Riemannian manifold |
scientific article; zbMATH DE number 7016048 |
Statements
The identification of convex function on Riemannian manifold (English)
0 references
8 February 2019
0 references
Summary: 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. This paper also presents a method for judging whether a point is the global minimum point in the inequality constraints. Our objective here is to extend the content and proof the necessary and sufficient condition of convex function to Riemannian manifolds.
0 references
0 references
0.7868346571922302
0 references
