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Elargir la recherche       Sur le même sujet :     Optimisation mathématique     Programmation linéaire     Programmation quadratique     Moindres carrés     Gradient conjugué, Méthode du     Mathematics.     Systems Theory     Computer science -- Mathematics.     Operations research     Mathematical optimization.     System theory     Computer mathematics     Calculus of variations     Decision making.     Parcourir le catalogue     par auteur:      Nocedal , Jorge , 1952-....      Wright , Stephen J. , 1960-.... , mathématicien       Rechercher sur Internet     Localiser dans une autre bibliothèque (SUDOC) (PPN ou ISBN ou ISSN)     Aperçu dans Google Books     Affichage MARC

Auteur :  Nocedal , Jorge , 1952-.... Wright , Stephen J. , 1960-.... , mathématicien Titre :  Numerical optimization , Jorge Nocedal, Stephen J. Wright Edition :  2nd Edition Editeur :  New York, NY : Springer New York , 2006 Collection :  Springer Series in Operations Research and Financial Engineering , 2197-1773 ISBN:  978-0-387-40065-5 Notes :  Bibliogr. p 637-652. Index L'impression du document génère 686 p. Description d'après consultation du 14 avril 2011 Titre provenant de la page de titre du document numérisé Numérisation de l'édition de New York : Springer, cop. 2006 L'accès complet au document est réservé aux usagers des établissements qui en ont fait l'acquisition Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field. The authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side Nécessite un lecteur de fichier PDF Contient :  Fundamentals of Unconstrained Optimization ; Line Search Methods ; Trust-Region Methods ; Conjugate Gradient Methods ; Quasi-Newton Methods ; Large-Scale Unconstrained Optimization ; Calculating Derivatives ; Derivative-Free Optimization ; Least-Squares Problems ; Nonlinear Equations ; Theory of Constrained Optimization ; Linear Programming: The Simplex Method ; Linear Programming: Interior-Point Methods ; Fundamentals of Algorithms for Nonlinear Constrained Optimization ; Quadratic Programming ; Penalty and Augmented Lagrangian Methods ; Sequential Quadratic Programming ; Interior-Point Methods for Nonlinear Programming. Sujet :  Optimisation mathématique Programmation linéaire Programmation quadratique Moindres carrés Gradient conjugué, Méthode du Mathematics. Systems Theory Computer science -- Mathematics. Operations research Mathematical optimization. System theory Computer mathematics Calculus of variations Decision making.   Exemplaires Pas de données exemplaires

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