Fast Reflected Forward-Backward algorithm: achieving fast convergence rates for convex optimization with linear cone constraints
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In this paper, we derive a Fast Reflected Forward-Backward (Fast RFB) algorithm to solve the problem of finding a zero of the sum of a maximally monotone operator and a monotone and Lipschitz continuous operator in a real Hilbert space. Our approach extends th... ...
