Title
Line Search Algorithms for Locally Lipschitz Functions on Riemannian Manifolds.
Abstract
This paper presents line search algorithms for finding extrema of locally Lipschitz functions defined on Riemannian manifolds. To this end we generalize the so-called Wolfe conditions for nonsmooth functions on Riemannian manifolds. Using epsilon-subgradient-oriented descent directions and the Wolfe conditions, we propose a nonsmooth Riemannian line search algorithm and establish the convergence of our algorithm to a stationary point. Moreover, we extend the classical BFGS algorithm to nonsmooth functions on Riemannian manifolds. Numerical experiments illustrate the effectiveness and efficiency of the proposed algorithm.
Year
DOI
Venue
2018
10.1137/16M1108145
SIAM JOURNAL ON OPTIMIZATION
Keywords
Field
DocType
Riemannian manifolds,Lipschitz functions,descent directions,Clarke subdifferential
Convergence (routing),Algorithm,Maxima and minima,Line search,Stationary point,Lipschitz continuity,Broyden–Fletcher–Goldfarb–Shanno algorithm,Mathematics,Wolfe conditions,Manifold
Journal
Volume
Issue
ISSN
28
1
1052-6234
Citations 
PageRank 
References 
3
0.39
2
Authors
3
Name
Order
Citations
PageRank
S. Hosseini1282.45
Wen Huang2778.07
R. Yousefpour330.39