Algorithms for constrained minimization of smooth nonlinear functions : edited by A.G. Buckley and J.-L. Goffin.
Guardat en:
| Altres autors: | , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Col·lecció: | Mathematical programming studies
16 |
| Matèries: | |
| Accés en línia: | 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: | • Algorithms for Constrained Minimization of Smooth Nonlinear Functions, Texte imprimé, 9783642008122 |
Taula de continguts:
- The watchdog technique for forcing convergence in algorithms for constrained optimization
- Reduced quasi-Newton methods with feasibility improvement for nonlinearly constrained optimization
- A surperlinearly convergent algorithm for constrained optimization problems
- Computation of the search direction in constrained optimization algorithms
- A projected Lagrangian algorithm and its implementation for sparse nonlinear constraints
- On some experiments which delimit the utility of nonlinear programming methods for engineering design
- Determining feasibility of a set of nonlinear inequality constraints
- Conjugate gradient methods for linearly constrained nonlinear programming
- Asymptotic properties of reduction methods applying linearly equality constrained reduced problems.