Global rates of convergence for nonconvex optimization on manifolds
We consider the minimization of a cost function $f$ on a manifold $M$ using Riemannian gradient descent and Riemannian trust regions (RTR). We focus on satisfying necessary optimality conditions within a tolerance $\varepsilon$. Specifically, we show that, under Lipschitz-type assumptions on the pul...
| Egile Nagusiak: | , , |
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| Formatua: | Journal article |
| Argitaratua: |
Oxford University Press
2018
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