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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers - Foundations and Trends (R) in Machine Learning
Stephen Boyd
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers - Foundations and Trends (R) in Machine Learning
Stephen Boyd
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.
140 pages
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | June 30, 2011 |
ISBN13 | 9781601984609 |
Publishers | now publishers Inc |
Pages | 140 |
Dimensions | 156 × 236 × 12 mm · 204 g |
Language | English |
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