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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 | Böcker Pocketbok (Bok med mjukt omslag och limmad rygg) |
| Releasedatum | 28 oktober 2015 |
| ISBN13 | 9781601988607 |
| Utgivare | now publishers Inc |
| Antal sidor | 142 |
| Mått | 234 × 158 × 11 mm · 208 g |
| Språk | Engelska |
Se alt med Sebastien Bubeck ( t.ex. Pocketbok )