Numerical methods for large-scale nonlinear optimization

N. Gould, Dominique Orban, P. Toint

    Résultats de recherche: Contribution à un journal/une revueArticleRevue par des pairs

    112 Téléchargements (Pure)

    Résumé

    Recent developments in numerical methods for solving large differentiable nonlinear optimization problems are reviewed. State-of-the-art algorithms for solving unconstrained, bound-constrained, linearly constrained and nonlinearly constrained problems are discussed. As well as important conceptual advances and theoretical aspects, emphasis is also placed on more practical issues, such as software availability. © Cambridge University Press, 2005.
    langue originaleAnglais
    Pages (de - à)299-361
    Nombre de pages63
    journalActa Numerica
    Volume14
    Les DOIs
    Etat de la publicationPublié - 1 janv. 2005

    Empreinte digitale Examiner les sujets de recherche de « Numerical methods for large-scale nonlinear optimization ». Ensemble, ils forment une empreinte digitale unique.

    Contient cette citation