The Identification of Convex Function on Riemannian Manifold
Keyword(s):
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.
2012 ◽
Vol 09
(01)
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pp. 1250002
1990 ◽
Vol 27
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pp. 440-444
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1994 ◽
Vol 17
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pp. 79-90
2009 ◽
Vol 46
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pp. 287-296
2018 ◽
Vol 33
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pp. 269