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Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers, Paperback by Boyd, Stephen; Parikh, Neal; Chu, Eric, ISBN 160198460X, ISBN-13 9781601984609, Brand New, Free shipping in the US Argues that the alternating direction method of multipliers is well suited to distributed convex optimization, and in particular to large-scale problems arising in statistics, machine learning, and related areas.
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