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Oral

ADMM and Accelerated ADMM as Continuous Dynamical Systems

Guilherme Franca · Daniel Robinson · Rene Vidal

Abstract:

Recently, there has been an increasing interest in using tools from dynamicalsystems to analyze the behavior of simple optimization algorithms such as gradient descent and accelerated variants. This paper strengthens such connections by deriving the differential equations that model the continuous limit of the sequence of iterates generated by the alternating direction method of multipliers, as well as an accelerated variant. We employ the direct methodof Lyapunov to analyze the stability of critical points of the dynamical systems and to obtain associated convergence rates.

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