G. C. Bento, O. P. Ferreira, Y. R. L. Pereira
Published 2015-12-18Version 1
In this paper, we extend the proximal point algorithm for vector optimization from the Euclidean space to the Riemannian context. Under suitable assumptions on the objective function the well definition and full convergence of the method to a weak efficient point is proved.
The proximal point method revisited
Robust stochastic optimization with the proximal point method
Proximal point algorithm, Douglas-Rachford algorithm and alternating projections: a case study
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