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dpo
reviewed
Aug 18, 2025
dpo
reviewed
Aug 18, 2025
dpo
reviewed
Aug 18, 2025
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dpo
reviewed
Aug 18, 2025
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| sol_iso = solve(exemple_iso) | ||
| println("Valeur objective: ", sol_iso.objective) | ||
| ``` |
Contributor
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Ce n'est pas l'exercice demandé ... D'ailleurs, quel problème modélises-tu ???
IPOPT ne converge pas et tu ne fais aucune commentaire.
| ẋ(t) == [u(t), √(1 + u(t)^2)] | ||
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| # Minimisation de l'énergie potentielle | ||
| ∫(ρ * g * x₁(t) * √(1 + u(t)^2)) → min |
Contributor
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Comment trouves-tu cette formulation ???
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| #### Commenter les résultats | ||
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| Les résultats montrent tout d'abord que la solution numérique converge vers une forme de chaînette (caténaire), qui est la solution analytique connue pour ce problème. Cette corde adopte une courbure caractéristique qui permet de minimiser son énergie potentielle. |
Contributor
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IPOPT n'a pas convergé. As-tu remarqué ?
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