CRM initialized in V converges linearly at the sharp rate ρ_V = (sin²θ_p - sin²θ_F)/(sin²θ_p + sin²θ_F) which is optimal for parameter-free single-step methods and smaller than c_F².
Infeasibility and Error Bound Imply Finite Convergence of Alternating Projections
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New inconsistent alternating projection scheme for basis pursuit with linear convergence proofs and competitive benchmarks.
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On the sharp linear convergence rate of the circumcentered--reflection method on subspaces
CRM initialized in V converges linearly at the sharp rate ρ_V = (sin²θ_p - sin²θ_F)/(sin²θ_p + sin²θ_F) which is optimal for parameter-free single-step methods and smaller than c_F².