Abstract
This paper extends the full convergence of the steepest descent method with a generalized Armijo search and a proximal regularization to solve minimization problems with quasiconvex objective functions on complete Riemannian manifolds. Previous convergence results are obtained as particular cases and some examples in non-Euclidian spaces are given. In particular, our approach can be used to solve constrained minimization problems with nonconvex objective functions in Euclidian spaces if the set of constraints is a Riemannian manifold and the objective function is quasiconvex in this manifold.
| Original language | English |
|---|---|
| Pages (from-to) | 467-477 |
| Number of pages | 11 |
| Journal | Journal of Mathematical Analysis and Applications |
| Volume | 341 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 May 2008 |
| Externally published | Yes |
Keywords
- Quasiconvex functions
- Riemannian manifolds
- Steepest descent method
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