A one-evaluation-per-iteration reflected forward-backward method is shown to converge weakly for monotone inclusions with Lipschitzian operators, with a new three-operator semi-reflected variant and improved stepsizes for cocoercive operators.
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A reflected forward-backward splitting method for monotone inclusions involving Lipschitzian operators
A one-evaluation-per-iteration reflected forward-backward method is shown to converge weakly for monotone inclusions with Lipschitzian operators, with a new three-operator semi-reflected variant and improved stepsizes for cocoercive operators.