Un algorithme de Gradient Conjugué Projeté préconditionné pour la résolution de problèmes unilatéraux

Nicolas Tardieu; Fabien Youbissi; Eric Chamberland

doi:10.1016/j.crme.2008.10.007

Un algorithme de Gradient Conjugué Projeté préconditionné pour la résolution de problèmes unilatéraux

Nicolas Tardieu
, Fabien Youbissi
, Eric Chamberland

Résultats de recherche: Contribution à un journal › Article › Revue par des pairs

Résumé

The Projected Conjugate Gradient method comes from the field of convex optimization, where it is used to solve minimization problems with linear inequality constraints. Thus, it is well suited for unilateral contact. Utilized on the dual form of the contact problem and associated to a Dirichlet preconditioner, it exhibits a performing behaviour, especially as the mesh size increases. To cite this article: N. Tardieu et al., C. R. Mecanique 336 (2008).

Titre traduit de la contribution	A preconditioned Projected Conjugate Gradient for the solution of unilateral problems
langue originale	Français
Pages (de - à)	840-845
Nombre de pages	6
journal	Comptes Rendus - Mecanique
Volume	336
Numéro de publication	11-12
Les DOIs	https://doi.org/10.1016/j.crme.2008.10.007
état	Publié - 1 nov. 2008
Modification externe	Oui

mots-clés

Conjugate Gradient
Contact
Preconditioner

Accès au document

10.1016/j.crme.2008.10.007

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title = "Un algorithme de Gradient Conjugu{\'e} Projet{\'e} pr{\'e}conditionn{\'e} pour la r{\'e}solution de probl{\`e}mes unilat{\'e}raux",

abstract = "The Projected Conjugate Gradient method comes from the field of convex optimization, where it is used to solve minimization problems with linear inequality constraints. Thus, it is well suited for unilateral contact. Utilized on the dual form of the contact problem and associated to a Dirichlet preconditioner, it exhibits a performing behaviour, especially as the mesh size increases. To cite this article: N. Tardieu et al., C. R. Mecanique 336 (2008).",

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AU - Tardieu, Nicolas

AU - Youbissi, Fabien

AU - Chamberland, Eric

PY - 2008/11/1

Y1 - 2008/11/1

N2 - The Projected Conjugate Gradient method comes from the field of convex optimization, where it is used to solve minimization problems with linear inequality constraints. Thus, it is well suited for unilateral contact. Utilized on the dual form of the contact problem and associated to a Dirichlet preconditioner, it exhibits a performing behaviour, especially as the mesh size increases. To cite this article: N. Tardieu et al., C. R. Mecanique 336 (2008).

AB - The Projected Conjugate Gradient method comes from the field of convex optimization, where it is used to solve minimization problems with linear inequality constraints. Thus, it is well suited for unilateral contact. Utilized on the dual form of the contact problem and associated to a Dirichlet preconditioner, it exhibits a performing behaviour, especially as the mesh size increases. To cite this article: N. Tardieu et al., C. R. Mecanique 336 (2008).

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KW - Contact

KW - Preconditioner

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ER -

Un algorithme de Gradient Conjugué Projeté préconditionné pour la résolution de problèmes unilatéraux

Résumé

mots-clés

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