Multiscale optimization methods and applications
As optimization researchers tackle larger and larger problems, scale interactions play an increasingly important role. One general strategy for dealing with a large or difficult problem is to partition it into smaller ones, which are hopefully much easier to solve, and then work backwards towards th...
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| Autor principal: | |
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| Outros Autores: | , , |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
New York, NY :
Springer US
[20..].
Cham : Springer Nature |
| Edição: | 1st ed. 2006. |
| Colecção: | Nonconvex optimization and its applications
82 |
| Assuntos: | |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Description d'après consultation du 13 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: | • Multiscale optimization methods and applications, edited by William W. Hager,... Shu-Jen Huang,... Panos M. Pardalos,... [et al], [Berlin], Springer, 2006, 1 vol. (XVII-407 p.), Nonconvex optimization and its applications, 978-0-387-29549-7 • Multiscale Optimization Methods and Applications, Texte imprimé, 9780387510248 • Multiscale Optimization Methods and Applications, Texte imprimé, 9781489991843 |