Practical Mathematical Optimization : An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms
This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form without neglecting rigour. The work should enable the professional to apply optimization theory and algorithms to his own particular practical field of interest, be...
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| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
New York, NY :
Springer US
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2005. |
| Collection: | Applied Optimization
97 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Practical Mathematical Optimization, Texte imprimé, 9780387243481 • Dictionary of abbreviations in medical sciences, with a list of the most important medical and scientific journals and their traditional abbreviations, Rolf Heister, Paris, Springer-Verlag, 1989, 1 vol. (VIII-287 p.) • Practical mathematical optimization, an introduction to basic optimization theory and classical and new gradient-based algorithms, by Jan A. Snyman, New York, Springer, 2005, 1 vol. (xx-257 p.), Applied optimization, 0-387-29824-X |

