Numerical optimization
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 th...
Tallennettuna:
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Livre numérique |
| Kieli: | Anglais |
| Julkaistu: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Painos: | 2nd Edition. |
| Sarja: | Springer Series in Operations Research and Financial Engineering
|
| Aiheet: | |
| Linkit: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Huomautus: |
Description d'après consultation du 14 avril 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Numerical Optimization, Texte imprimé, 9780387510880 • Numerical optimization, Jorge Nocedal, Stephen J. Wright, 2nd edition, 2006, New York, Springer, 1 volume (xxii-664 pages), Springer Series in Operations Research and Financial Engineering, 978-0387-30303-1 • Numerical Optimization, Texte imprimé, 9781493937110 |
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| 041 | 0 | |a eng | |
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| 100 | 1 | |a Nocedal, Jorge, |d 1952- | |
| 245 | 1 | 0 | |a Numerical optimization |c Jorge Nocedal, Stephen J. Wright. |
| 250 | |a 2nd Edition. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Series in Operations Research and Financial Engineering |x 2197-1773 | |
| 500 | |a Description d'après consultation du 14 avril 2011 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. p 637-652. Index | ||
| 505 | 1 | |a 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. | |
| 505 | 0 | |a 1. Introduction -- 2. Fundamentals of unconstrained optimization -- 3. Line search methods -- 4. Trust-region methods -- 5. Conjugate gradient methods -- 6. Quasi-Newton methods -- 7. Large-scale unconstrained optimization -- 8. Calculating derivatives -- 9. Derivative-free optimization -- 10. Least-squares problems -- 11. Nonlinear equations -- 12. Theory of constrained optimization -- 13. Linear programming : the simplex method -- 14. Linear programming : interior-point methods -- 15. Fundamentals of algorithms for nonlinear constrained optimization -- 16. Quadratic programming -- 17. Penalty and augmented Lagrangian methods -- 18. Sequential quadratic programming -- 19. Interior-point methods for nonlinear programming | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
| 650 | |a Optimisation mathématique | ||
| 650 | |a Programmation linéaire | ||
| 650 | |a Programmation quadratique | ||
| 650 | |a Méthode des moindres carrés | ||
| 650 | |a Méthode du gradient conjugué | ||
| 700 | 1 | |a Wright, Stephen J., |d 1960-...., |c mathématicien. |4 aut | |
| 776 | 0 | |t Numerical Optimization |b Texte imprimé |z 9780387510880 | |
| 776 | 0 | |0 109250516 |t Numerical optimization |f Jorge Nocedal, Stephen J. Wright |e 2nd edition |d 2006 |c New York |n Springer |p 1 volume (xxii-664 pages) |s Springer Series in Operations Research and Financial Engineering |z 978-0387-30303-1 | |
| 776 | 0 | |t Numerical Optimization |b Texte imprimé |z 9781493937110 | |
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| 997 | |0 937957 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||