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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
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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
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
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 30 de junio de 2011 |
| ISBN13 | 9781601984609 |
| Editores | now publishers Inc |
| Páginas | 140 |
| Dimensiones | 156 × 236 × 12 mm · 204 g |
| Lengua | English |
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