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Complétion du rapport du laboratoire 7 (pénalisation quadratique)
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dpo
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Aug 18, 2025
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| # This file is machine-generated - editing it directly is not advised | |||
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Ne pas me remettre ces fichiers.
| ls_iter += 1 | ||
| end | ||
| return t | ||
| end |
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Et si on atteint max_ls, que se passe-t-il ?
| C = nlp.meta.ncon | ||
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| f_penal(x) = begin | ||
| cst = similar(x, C) |
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À chaque évaluation de cst...
| c = cons(model, x) | ||
| J = jac(model, x) | ||
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| stationarity = grad_f + J' * y |
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C'est un vecteur. Il faudrait prendre sa norme...
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| # Évaluation initiale des conditions KKT | ||
| (stationarity, feasibility) = KKT_eq_constraint(model, x, y) | ||
| optimal = norm(stationarity, Inf) ≤ ϵ && feasibility ≤ ϵ |
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ok mais ... pourquoi prendre la norme de l'un ici et pas de l'autre ?!
| results = [ | ||
| (nlp.meta.name, nlp.meta.nvar, nlp.meta.ncon, quad_penalty(nlp)) | ||
| for nlp in test_set | ||
| ] |
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Ton rapport fait 1,859 pages...
| alignment = [:l, :c, :c, :r, :r, :r, :r, :c, :c, :c], | ||
| formatters = (ft_printf("%.1e", 4:7), ft_printf("%d", [2,3,8,9])), | ||
| tf = tf_markdown # Meilleur rendu pour les rapports | ||
| ) |
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On ne voit pas toutes les colonnes...
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Complétion du laboratoire 7 (pénalisation quadratique)