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dpo
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Aug 17, 2025
| Pkg.add("PrettyTables") | ||
| Pkg.add("Printf") | ||
| using LinearAlgebra, ADNLPModels, PrettyTables, Printf | ||
| include("newton_modifiees.jl") |
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Pour une fois que tu ne me remets pas 10,000 fichiers, celui-ci est manquant.
| x -> [4x[1] + 6x[2] - 10], | ||
| zeros(1), zeros(1), | ||
| name="Simple linear-quadratique problem") | ||
| jac(nlp, [1.0; 2.0]) |
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tu ne peux pas appeler jac sans faire d'abord using NLPModels.
dpo
reviewed
Aug 18, 2025
| # on definit une nouvelle fonction objectif pénalisée | ||
| function objectif_penalise(point) | ||
| valeur_f = modele.f(point) | ||
| contraintes = zeros(modele.meta.ncon) |
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Tu alloues un nouveau tableau à chaque évaluation ...
| où Vf(x) est le gradient de la fonction objectif, J(x) est la jacobien et y est le vecteur des multiplicateurs de Lagrange. | ||
| - feasibility : La violation de faisabilité des contraintes d'égalité, | ||
| """ | ||
| function KKT_eqs_contraintes(model :: AbstractNLPModel, X, y) |
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Tu passes X (majuscule), mais tu utilises x (minuscule) dans la fonction. Je ne pense pas que tu ais testé ton code...
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