An inertial forward–backward algorithm for the minimization of the sum of two nonconvex functions
We propose a forward–backward proximal-type algorithm with inertial/memory effects for minimizing the sum of a nonsmooth function with a smooth one in the nonconvex setting. Every sequence of iterates generated by the algorithm converges to a critical point of the objective function provided an appr...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Elsevier
2016
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/c2b91391253b4ec88bc07e3edc72bbe7 |
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