On the circumcentered-reflection method for the convex feasibility problem
DOI10.1007/s11075-020-00941-6zbMath1460.49023arXiv2001.01773OpenAlexW3103438079MaRDI QIDQ2661677
Roger Behling, Luiz-Rafael Santos, Yunier Y. Bello Cruz
Publication date: 7 April 2021
Published in: Numerical Algorithms (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2001.01773
circumcenterconvex feasibility problemmethod of alternating projectionsDouglas-Rachford methodaccelerating convergencereflection method
Numerical mathematical programming methods (65K05) Convex programming (90C25) Decomposition methods (49M27) Acceleration of convergence in numerical analysis (65B99)
Related Items (12)
Cites Work
- Unnamed Item
- Optimal rates of linear convergence of relaxed alternating projections and generalized Douglas-Rachford methods for two subspaces
- Linear and strong convergence of algorithms involving averaged nonexpansive operators
- The Douglas-Rachford algorithm for the case of the sphere and the line
- Applications of second-order cone programming
- Second-order cone programming
- Circumcentering the Douglas-Rachford method
- The Douglas-Rachford algorithm for convex and nonconvex feasibility problems
- The block-wise circumcentered-reflection method
- A cyclic Douglas-Rachford iteration scheme
- The rate of linear convergence of the Douglas-Rachford algorithm for subspaces is the cosine of the Friedrichs angle
- Solving second-order conic systems with variable precision
- On the Douglas-Rachford algorithm
- On the linear convergence of the circumcentered-reflection method
- Global convergence of a non-convex Douglas-Rachford iteration
- Linear convergence of the Douglas–Rachford method for two closed sets
- The Douglas--Rachford Algorithm for Two (Not Necessarily Intersecting) Affine Subspaces
- Proximal point algorithm, Douglas-Rachford algorithm and alternating projections: a case study
- The Douglas–Rachford Algorithm in the Absence of Convexity
- On Weak Convergence of the Douglas–Rachford Method
- On the Numerical Solution of Heat Conduction Problems in Two and Three Space Variables
- Decomposition through formalization in a product space
- On Projection Algorithms for Solving Convex Feasibility Problems
- On circumcenters of finite sets in Hilbert spaces
- The Cyclic Douglas-Rachford Method for Inconsistent Feasibility Problems
- Convex analysis and monotone operator theory in Hilbert spaces
- Benchmarking optimization software with performance profiles.
This page was built for publication: On the circumcentered-reflection method for the convex feasibility problem