Introduces cyclic relaxed Douglas-Rachford splitting, characterizes its fixed points and their shadows relative to cyclic projections, and gives conditions for local quantitative convergence in nonconvex inconsistent feasibility.
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Cyclic Relaxed Douglas-Rachford Splitting for Inconsistent Nonconvex Feasibility
Introduces cyclic relaxed Douglas-Rachford splitting, characterizes its fixed points and their shadows relative to cyclic projections, and gives conditions for local quantitative convergence in nonconvex inconsistent feasibility.