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Foundations and Trends R⃝ in Machine Learning 3(1):1–122

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Convergence Analysis of Nonconvex ADMM for Rigid Registration

math.OC · 2019-07-17 · unverdicted · novelty 6.0

Convergence analysis of REG-ADMM proves fixed points are KKT stationary points of REG-SDP and gives explicit rho for global optimality under clean measurements using tightness of the convex relaxation.

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  • Convergence Analysis of Nonconvex ADMM for Rigid Registration math.OC · 2019-07-17 · unverdicted · none · ref 8

    Convergence analysis of REG-ADMM proves fixed points are KKT stationary points of REG-SDP and gives explicit rho for global optimality under clean measurements using tightness of the convex relaxation.