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: Radu Ioan Boţ, Ernö Robert Csetnek, Szilárd Csaba László
Format: article
Langue:EN
Publié: Elsevier 2016
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Accès en ligne:https://doaj.org/article/c2b91391253b4ec88bc07e3edc72bbe7
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