A Forward-Backward Splitting Method for Monotone Inclusions Without Cocoercivity
نویسندگان
چکیده
منابع مشابه
Stochastic Forward-Backward Splitting for Monotone Inclusions
We propose and analyze the convergence of a novel stochastic algorithm for monotone inclusions that are sum of a maximal monotone operator and a single-valued cocoercive operator. The algorithm we propose is a natural stochastic extension of the classical forward-backward method. We provide a non-asymptotic error analysis in expectation for the strongly monotone case, as L. Rosasco DIBRIS, Univ...
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ژورنال
عنوان ژورنال: SIAM Journal on Optimization
سال: 2020
ISSN: 1052-6234,1095-7189
DOI: 10.1137/18m1207260