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Alternating Direction Method of Multipliers for Machine Learning Zhouchen Lin 2022 edition
Alternating Direction Method of Multipliers for Machine Learning
Zhouchen Lin
Written by experts in machine learning and optimization, this is the first book providing a state-of-the-art review on ADMM under various scenarios, including deterministic and convex optimization, nonconvex optimization, stochastic optimization, and distributed optimization.
263 pages, 1 Illustrations, black and white; XXIII, 263 p. 1 illus.
| Mídia | Livros Hardcover Book (Livro com lombada e capa dura) |
| Lançado | 16 de junho de 2022 |
| ISBN13 | 9789811698392 |
| Editoras | Springer Verlag, Singapore |
| Páginas | 263 |
| Dimensões | 150 × 220 × 20 mm · 580 g |