Pastāsti draugiem par šo preci:
Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023 - De Gruyter Proceedings in Mathematics
Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023 - De Gruyter Proceedings in Mathematics
Mathematical optimization and machine learning are closely related. This proceedings volume of the Thematic Einstein Semester 2023 of the Berlin Mathematics Research Center MATH+ collects recent progress on their interplay in topics such as discrete optimization, nonlinear programming, optimal control, first-order methods, multilevel optimization, machine learning in optimization, physics-informed learning, and fairness in machine learning.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2025. gada 6. maijs |
| ISBN13 | 9783111375854 |
| Izdevēji | De Gruyter |
| Lapas | 212 |
| Izmēri | 150 × 220 × 20 mm · 485 g |
| Redaktors | Fackeldey, Konstantin |
| Redaktors | Kannan, Aswin |
| Redaktors | Pokutta, Sebastian |
| Redaktors | Sharma, Kartikey |
| Redaktors | Walter, Daniel |
| Redaktors | Walther, Andrea |
| Redaktors | Weiser, Martin |