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Accelerated optimization for machine learning : first-order algorithms / / Zhouchen Lin, Huan Li, Cong Fang
| Accelerated optimization for machine learning : first-order algorithms / / Zhouchen Lin, Huan Li, Cong Fang |
| Autore | Lin Zhouchen |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (286 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning - Mathematics
Mathematical optimization Computer mathematics Machine Learning Optimization Math Applications in Computer Science Computational Mathematics and Numerical Analysis |
| ISBN |
981-15-2910-8
9789811529108 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Accelerated Algorithms for Unconstrained Convex Optimization -- Chapter 3. Accelerated Algorithms for Constrained Convex Optimization -- Chapter 4. Accelerated Algorithms for Nonconvex Optimization -- Chapter 5. Accelerated Stochastic Algorithms -- Chapter 6. Accelerated Paralleling Algorithms -- Chapter 7. Conclusions. |
| Record Nr. | UNISA-996465342403316 |
Lin Zhouchen
|
||
| Singapore : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Accelerated optimization for machine learning : first-order algorithms / / Zhouchen Lin, Huan Li, Cong Fang
| Accelerated optimization for machine learning : first-order algorithms / / Zhouchen Lin, Huan Li, Cong Fang |
| Autore | Lin Zhouchen |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (286 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning - Mathematics
Mathematical optimization Computer mathematics Machine Learning Optimization Math Applications in Computer Science Computational Mathematics and Numerical Analysis |
| ISBN |
981-15-2910-8
9789811529108 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Accelerated Algorithms for Unconstrained Convex Optimization -- Chapter 3. Accelerated Algorithms for Constrained Convex Optimization -- Chapter 4. Accelerated Algorithms for Nonconvex Optimization -- Chapter 5. Accelerated Stochastic Algorithms -- Chapter 6. Accelerated Paralleling Algorithms -- Chapter 7. Conclusions. |
| Record Nr. | UNINA-9910409667103321 |
|
Lin Zhouchen
|
||
| Singapore : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Alternating direction method of multipliers for machine learning / / Zhouchen Lin, Huan Li, and Cong Fang
| Alternating direction method of multipliers for machine learning / / Zhouchen Lin, Huan Li, and Cong Fang |
| Autore | Lin Zhouchen |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (274 pages) |
| Disciplina | 005.1 |
| Soggetto topico |
Computer algorithms
Machine learning - Statistical methods |
| ISBN | 981-16-9840-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910578685303321 |
|
Lin Zhouchen
|
||
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Alternating direction method of multipliers for machine learning / / Zhouchen Lin, Huan Li, and Cong Fang
| Alternating direction method of multipliers for machine learning / / Zhouchen Lin, Huan Li, and Cong Fang |
| Autore | Lin Zhouchen |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (274 pages) |
| Disciplina | 005.1 |
| Soggetto topico |
Computer algorithms
Machine learning - Statistical methods |
| ISBN | 981-16-9840-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996478866403316 |
|
Lin Zhouchen
|
||
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||