The Newton-Cauchy framework : a unified approach to unconstrained nonlinear minimization
Computational unconstrained nonlinear optimization comes to life from a study of the interplay between the metric-based (Cauchy) and model-based (Newton) points of view. The motivating problem is that of minimizing a convex quadratic function. This research monograph reveals for the first time the e...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Serier: | Lecture notes in computer science
769 |
| Fag: | |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • The Newton-Cauchy framework, a unified approach to unconstrained nonlinear minimization, John L. Nazareth, Berlin, Springer-Verlag, 1994, 1 vol. (xii-101 p.), Lecture notes in computer science, 0-387-57671-1 • The Newton-Cauchy Framework, Texte imprimé, 9783662186930 |
Indholdsfortegnelse:
- Motivation
- The metric-based Cauchy perspective
- The model-based Newton perspective
- The Newton-Cauchy framework
- Convergent implementable algorithms
- Unconstrained optimization technology.