On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm for Optimization with General Nonlinear Inequality Constraints and Simple Bounds

Andy Conn; Nick Gould; Philippe Toint

On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm for Optimization with General Nonlinear Inequality Constraints and Simple Bounds

Andy Conn, Nick Gould, Philippe Toint

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

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Résumé

This paper considers the number of inner iterations required per outer iteration for the algorithm proposed by Conn et al. [9]. We show that asymptotically, under suitable reasonable assumptions, a single inner iteration suffices.

langue originale	Anglais
Pages (de - à)	41-69
Nombre de pages	29
journal	Computational Optimization and Applications
Volume	7
Numéro de publication	1
Etat de la publication	Publié - 1 janv. 1997

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1 Terminé
1 Actif

ADALGOPT: ADALGOPT - Algorithmes avancés en optimisation non-linéaire
Sartenaer, A. & TOINT, P.
1/01/87 → …
Projet: Axe de recherche
LANCELOT: LANCELOT, un logiciel pour l'optimisation non linéaire de grande taille
TOINT, P., Sartenaer, A., Gould, N. I. M. & Conn, A.
1/09/87 → 1/09/00
Projet: Recherche

Contient cette citation

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title = "On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm for Optimization with General Nonlinear Inequality Constraints and Simple Bounds",

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On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm for Optimization with General Nonlinear Inequality Constraints and Simple Bounds. / Conn, Andy; Gould, Nick; Toint, Philippe.
Dans: Computational Optimization and Applications, Vol 7, Numéro 1, 01.01.1997, p. 41-69.

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

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N2 - This paper considers the number of inner iterations required per outer iteration for the algorithm proposed by Conn et al. [9]. We show that asymptotically, under suitable reasonable assumptions, a single inner iteration suffices.

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On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm for Optimization with General Nonlinear Inequality Constraints and Simple Bounds

Résumé

Accès au document

Autres fichiers et liens

Empreinte digitale

Projets

ADALGOPT: ADALGOPT - Algorithmes avancés en optimisation non-linéaire

LANCELOT: LANCELOT, un logiciel pour l'optimisation non linéaire de grande taille

Contient cette citation