Numerical experiments on stochastic block proximal-gradient type method for convex constrained optimization involving coordinatewise separable problems
In this paper, we consider convex constrained optimization problems with composite objective functions over the set of a minimizer of another function. The main aim is to test numerically a new algorithm, namely a stochastic block coordinate proximal-gradient algorithm with penalization, by comparin...
| Veröffentlicht in: | Carpathian Journal of Mathematics. - Sinus Association. - 35(2019), 3, Seite 371-378 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2019
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| Zugriff auf das übergeordnete Werk: | Carpathian Journal of Mathematics |
| Schlagworte: | Mathematics Applied sciences Information science |
| Online verfügbar |
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