ADMM for SDP attains local linear convergence under strict complementarity, independent of nondegeneracy.
Optimal rates of linear convergence of relaxed alternating projections and generalized Douglas–Rachford methods for two subspaces.Numerical Algorithms, 73:33–76
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Local Linear Convergence of the Alternating Direction Method of Multipliers for Semidefinite Programming under Strict Complementarity
ADMM for SDP attains local linear convergence under strict complementarity, independent of nondegeneracy.