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Convex Optimization: Algorithms and Complexity - Foundations and Trends® in Machine Learning
Sebastien Bubeck
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Convex Optimization: Algorithms and Complexity - Foundations and Trends® in Machine Learning
Sebastien Bubeck
Presents the main complexity theorems in convex optimization and their corresponding algorithms. The book begins with the fundamental theory of black-box optimization and proceeds to guide the reader through recent advances in structural optimization and stochastic optimization.
142 pages
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 28. oktober 2015 |
| ISBN13 | 9781601988607 |
| Utgivere | now publishers Inc |
| Antall sider | 142 |
| Mål | 234 × 158 × 11 mm · 208 g |
| Språk | Engelsk |
