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Inertial proximal alternating minimization for nonconvex and nonsmooth problems
In this paper, we study the minimization problem of the type [Formula: see text] , where f and g are both nonconvex nonsmooth functions, and R is a smooth function we can choose. We present a proximal alternating minimization algorithm with inertial effect. We obtain the convergence by constructing...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613284/ https://www.ncbi.nlm.nih.gov/pubmed/29026279 http://dx.doi.org/10.1186/s13660-017-1504-y |