z-logo
open-access-imgOpen Access
The Identification of Convex Function on Riemannian Manifold
Author(s) -
Li Zou,
Xin Wen,
Hamid Reza Karimi,
Yan Shi
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/273514
Subject(s) - mathematics , convex function , convex analysis , riemannian manifold , manifold (fluid mechanics) , pseudoconvex function , nonlinear programming , function (biology) , pure mathematics , subderivative , convex optimization , regular polygon , mathematical analysis , nonlinear system , geometry , engineering , physics , mechanical engineering , quantum mechanics , evolutionary biology , biology
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom