Programming for Mathematical Applications
The alternating direction method of multipliers (ADMM) is an optimization algorithm used to solve convex problems by breaking them down into smaller, more manageable subproblems. It effectively combines dual ascent with a method to separate variables, allowing distributed computations that can lead to faster convergence. ADMM is particularly useful in distributed algorithms where the objective is to minimize a sum of functions that are separable.
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