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| Результат поиска |
Поиск книг, содержащих: Karush — Kuhn — Tucker conditions
| Книга | Страницы для поиска | | Hastie T., Tibshirani R., Friedman J. — The Elements of Statistical Learning Data Mining, Inference and Prediction | 110, 374 | | Jahn J. — Introduction to the Theory of Nonlinear Optimization | 120 | | Suykens J.A.K., Horvath G., Basu S. — Advances in learning theory: methods, models and applications | 20, 189 | | Friedman J., Hastie T., Tibshirani R. — The Elements of Statistical Learning | 110, 374 | | Bazaraa M.S., Sherali H.D., Shetty C.M. — Nonlinear Programming: Theory and Algorithms | 191, 195, 207, 209, 213, 216, 246, 271, 479, 507 | | Vogel C.R. — Computational Methods for Inverse Problems (Frontiers in Applied Mathematics) | 155 | | Suykens J.A.K., Horvath G. — Advanced learning theory: methods, moduls and applications | 20, 189 | | Pallaschke D., Rolewicz S. — Foundations of Mathematical Optimization. Convex Analysis without Linearity | 484 |
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