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.
Best Approximation in Inner Product Spaces, CMS Books in Mathematics 7
2 Pith papers cite this work. Polarity classification is still indexing.
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Proposes and proves convergence of a new algorithm for metric projection onto superelliptic disks of order p>1.
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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.
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An Algorithm for Approximating the Metric Projection onto a Superelliptic Disk
Proposes and proves convergence of a new algorithm for metric projection onto superelliptic disks of order p>1.