ADMM for SDP attains local linear convergence under strict complementarity, independent of nondegeneracy.
An efficient inexact symmetric Gauss–Seidel based ma- jorized ADMM for high-dimensional convex composite conic programming.Mathematical Programming, 161:237–270, 2017
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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.