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Gradient-type penalty method with inertial effects for solving constrained convex optimization problems with smooth data
We consider the problem of minimizing a smooth convex objective function subject to the set of minima of another differentiable convex function. In order to solve this problem, we propose an algorithm which combines the gradient method with a penalization technique. Moreover, we insert in our algori...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956900/ https://www.ncbi.nlm.nih.gov/pubmed/31998412 http://dx.doi.org/10.1007/s11590-017-1158-1 |