A comparative introduction to two optimization classics: the Nelder-Mead and the CMA-ES algorithms
Résumé
These slides were part of a class about two important, derivative-free, continuous optimization algorithms: the Nelder-Mead method and the Covariance Matrix Adaptation method. The class is intended for graduate students and researchers with basic knowledge in linear algebra and probabilities and can be seen as a practical introduction to continuous optimization.
| Origine | Fichiers produits par l'(les) auteur(s) |
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