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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2011. gada 30. jūnijs |
| ISBN13 | 9781601984609 |
| Izdevēji | now publishers Inc |
| Lapas | 140 |
| Izmēri | 156 × 236 × 12 mm · 204 g |
| Valoda | Angļu |
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