A Riemannian Proximal Newton Method

In recent years, the proximal gradient method and its variants have been generalized to Riemannian manifolds for solving optimization problems with an additively separable structure, i.e., $f + h$, where $f$ is continuously differentiable, and $h$ may be nonsmooth but convex with computationally rea...

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Hauptverfasser: Si, Wutao, Absil, P. -A, Huang, Wen, Jiang, Rujun, Vary, Simon
Format: Artikel
Sprache:eng
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