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Inducing strong convergence into the asymptotic behaviour of proximal splitting algorithms in Hilbert spaces
Proximal splitting algorithms for monotone inclusions (and convex optimization problems) in Hilbert spaces share the common feature to guarantee for the generated sequences in general weak convergence to a solution. In order to achieve strong convergence, one usually needs to impose more restrictive...
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| Publicado en: | Optim Methods Softw |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Taylor & Francis
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6474735/ https://ncbi.nlm.nih.gov/pubmed/31057305 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10556788.2018.1457151 |
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