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Alternating Direction Method of Multipliers for Machine Learning
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Ei käytettävissä
Mukaan Zhouchen Lin
Kuvaus
Written by experts in machine learning and optimization, this is the first book providing a state-of-the-art review on ADMM under various scenarios, including deterministic and convex optimization, nonconvex optimization, stochastic optimization, and distributed optimization.
Alternating Direction Method of Multipliers for Machine Learning