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...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
New York, NY :
Springer US
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2005. |
| Colección: | Applied Optimization
97 |
| Acceso en línea: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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 |
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| 245 | 1 | 0 | |a Practical Mathematical Optimization : |b An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms |c by Jan A. Snyman. |
| 250 | |a 1st ed. 2005. | ||
| 260 | |a New York, NY : |b Springer US. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Applied Optimization |v 97 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Line Search Descent Methods for Unconstrained Minimization Standard Methods for Constrained Optimization New Gradient-Based Trajectory and Approximation Methods Example Problems Some Theorems | |
| 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 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 it engineering, physics, chemistry, or business economics. Most importantly, for the first time in a relatively brief and introductory work, due attention is paid to the difficulties such as noise, discontinuities, expense of function evaluations, and the existence of multiple minima that often unnecessarily inhibit the use of gradient-based methods. In a separate chapter on new gradient-based methods developed by the author and his coworkers, it is shown how these difficulties may be overcome without losing the desirable features of classical gradient-based methods. Audience It is intended that this book be used in senior- to graduate-level semester courses in optimization, as offered in mathematics, engineering, computer science, and operations research departments, and also to be useful to practising professionals in the workplace | ||
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