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Strong convergence and bounded perturbation resilience of a modified proximal gradient algorithm
The proximal gradient algorithm is an appealing approach in finding solutions of non-smooth composite optimization problems, which may only has weak convergence in the infinite-dimensional setting. In this paper, we introduce a modified proximal gradient algorithm with outer perturbations in Hilbert...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932141/ https://www.ncbi.nlm.nih.gov/pubmed/29755243 http://dx.doi.org/10.1186/s13660-018-1695-x |