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ADMM is an algorithmic framework for solving separable convex optimization problems, proposed by Gabay and Mercier in 1976, whose core idea is to introduce auxiliary variables to decompose the original problem into multiple subproblems, alternately updating the primal variables, auxiliary variables and dual variables.

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10/14/2026
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