ADMM for SDP attains local linear convergence under strict complementarity, independent of nondegeneracy.
Inexact augmented Lagrangian methods for conic optimiza- tion: Quadratic growth and linear convergence.Advances in Neural Information Processing Systems, 37:41013–41050
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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.