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Derivative-Free Optimization: Theoretical Foundations, Algorithms, and Applications - Machine Learning: Foundations, Methodologies, and Applications Yang Yu
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Derivative-Free Optimization: Theoretical Foundations, Algorithms, and Applications - Machine Learning: Foundations, Methodologies, and Applications
Yang Yu
mso-fareast-font-family: 'Times New Roman';">Readers will benefit from a comprehensive yet concise presentation of modern DFO methods, gaining theoretical insights and practical tools to enhance their research and problem-solving capabilities.
| Médias | Livres Hardcover Book (Livre avec dos et couverture rigide) |
| Validé | 3 juillet 2025 |
| ISBN13 | 9789819659289 |
| Éditeurs | Springer Nature Switzerland AG |
| Pages | 193 |
| Dimensions | 150 × 220 × 20 mm · 476 g |
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