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Numerical optimization
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| Auteurs principaux : | , |
|---|---|
| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Numerical optimization / Jorge Nocedal, Stephen J. Wright |
| Édition : | 2nd edition |
| Publié : |
Berlin :
Springer
, copyright 2006 |
| Description matérielle : | 1 vol. (XXII-664 p.) |
| Collection : | Springer series in operations research |
| Accès en ligne : |
NEOS guide
|
| Sujets : | |
| Documents associés : | Autre format:
Numerical optimization |
- 1. Introduction
- 2. Fundamentals of unconstrained optimization
- 3. Line search methods
- 4. Trust-region methods
- 5. Conjugate gradient methods
- 6. Quasi-Newton methods
- 7. Large-scale unconstrained optimization
- 8. Calculating derivatives
- 9. Derivative-free optimization
- 10. Least-squares problems
- 11. Nonlinear equations
- 12. Theory of constrained optimization
- 13. Linear programming : the simplex method
- 14. Linear programming : interior-point methods
- 15. Fundamentals of algorithms for nonlinear constrained optimization
- 16. Quadratic programming
- 17. Penalty and augmented Lagrangian methods
- 18. Sequential quadratic programming
- 19. Interior-point methods for nonlinear programming