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Path-based incremental target level algorithm on Riemannian manifolds.
- Source :
-
Optimization . Apr2020, Vol. 69 Issue 4, p799-819. 21p. - Publication Year :
- 2020
-
Abstract
- In this paper, we propose and analyse a path-based incremental target level algorithm for minimizing a constrained convex optimization on complete Riemannian manifolds with lower bounded sectional curvature, where the object function consists of the sum of a large number of component functions. This algorithm extends, to the context of Riemannian manifolds, an incremental subgradient method emplying a version of dynamic stepsize rule. Some convergence results and iteration-complexity bounds of the algorithm are established. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02331934
- Volume :
- 69
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Optimization
- Publication Type :
- Academic Journal
- Accession number :
- 142313480
- Full Text :
- https://doi.org/10.1080/02331934.2019.1671840