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|a 978-0387-30303-1
|b rel.
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|a 0-387-30303-0
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|a (OCoLC)494581088
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|a 9780387303031
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|a eng
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|a Numerical optimization
|b Texte imprimé
|f Jorge Nocedal, Stephen J. Wright
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|a 2nd edition
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|a Berlin
|c Springer
|d copyright 2006
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|a 1 vol. (XXII-664 p.)
|c ill., couv. ill.
|d 24 cm
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|a Springer Series in Operations Research and Financial Engineering
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|a NEOS guide
|u http://www-fp.mcs.anl.gov/otc/Guide/
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|a Bibliogr. p. [637]-652. Index
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|b 1. Introduction
|b 2. Fundamentals of unconstrained optimization
|b 3. Line search methods
|b 4. Trust-region methods
|b 5. Conjugate gradient methods
|b 6. Quasi-Newton methods
|b 7. Large-scale unconstrained optimization
|b 8. Calculating derivatives
|b 9. Derivative-free optimization
|b 10. Least-squares problems
|b 11. Nonlinear equations
|b 12. Theory of constrained optimization
|b 13. Linear programming : the simplex method
|b 14. Linear programming : interior-point methods
|b 15. Fundamentals of algorithms for nonlinear constrained optimization
|b 16. Quadratic programming
|b 17. Penalty and augmented Lagrangian methods
|b 18. Sequential quadratic programming
|b 19. Interior-point methods for nonlinear programming
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|0 01360659X
|t Springer series in operations research
|x 1431-8598
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| 452 |
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|0 123109698
|t Numerical optimization
|f Jorge Nocedal, Stephen J. Wright
|e 2nd Edition
|c New York, NY
|n Springer New York
|d 2006
|s Springer series in operations research and financial engineering
|y 978-0-387-40065-5
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|3 PPN027244067
|a Optimisation mathématique
|2 rameau
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|3 PPN027355470
|a Programmation linéaire
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|a Programmation quadratique
|2 rameau
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|a Moindres carrés
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|a Gradient conjugué, Méthode du
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