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June 26, 2025 20:58
Mise à jours du code et ajout de l'analyse des résultats numériques
Mise à jour du rapport et retrait du pdf
Mise à jour du rapport et ajout de commentaires pours les résultats.
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Status: |
dpo
reviewed
Aug 17, 2025
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| *.pdf No newline at end of file | |||
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| [deps] | |||
| Images = "916415d5-f1e6-5110-898d-aaa5f9f070e0" | |||
| MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458" | |||
Contributor
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Ça n'a rien à voir avec ce labo ...
| Pkg.add("Printf") | ||
| Pkg.add("ADNLPModels") | ||
| Pkg.add("NLPModels") | ||
| Pkg.add("IterativeSolvers") |
Contributor
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Est-ce un module qu'on a utilisé en laboratoire ??? Si tu étais venu, tu le saurais peut-être.
| if lambda_min ≤ 0 | ||
| E = -lambda_min * I(n) + epsilon * I(n) | ||
| hess_f += E | ||
| epsilon *= 10 |
Contributor
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Ce n'est pas l'implémentation qui est demandée...
| # Modification de la hessienne | ||
| if lambda_min ≤ 0 | ||
| E = -lambda_min * I(n) + epsilon * I(n) | ||
| hess_f += E |
| end | ||
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| # Recherche linéaire | ||
| t = linesearch(model, x, d, grad_f) |
Contributor
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Ce n'est absolument pas ça qu'on demande...
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Implémentation des fonctions de Newton modifié et Newton inexacte. Validation des résultats obtenus.