The paper establishes an explicit local linear convergence rate for ADMM on isotropic TV-norm compressed sensing in multiple dimensions via Douglas-Rachford analysis on the dual problem.
F.: A general framework for a class of first order primal-dual algorithms for convex optimization in imaging science, SIAM J
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Asymptotic Linear Convergence of ADMM for Isotropic TV Norm Compressed Sensing
The paper establishes an explicit local linear convergence rate for ADMM on isotropic TV-norm compressed sensing in multiple dimensions via Douglas-Rachford analysis on the dual problem.