Tight global linear convergence rate bounds for operator splitting methods
In this paper we establish necessary and sufficient conditions for global linear convergence rate bounds in operator splitting methods for a general class of convex optimization problems where the associated fixed-point operator is strongly quasinonexpansive. We also provide a tight bound on the ach...
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| Format: | Journal article |
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IEEE
2018
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