Numerical optimization / Jorge Nocedal, Stephen J. Wright
Type de document : MonographieCollection : Springer series in operations researchLangue : anglais.Pays: Etats Unis.Mention d'édition: 2nd editionÉditeur : New York : Springer, cop. 2006Description : 1 vol. (XXII-664 p.) : ill. ; 24 cmISBN: 9780387303031.ISSN: 1431-8598.Bibliographie : Bibliogr. p. [637]-652. Index.Sujet MSC : 90C06, Mathematical programming, Large-scale problems in mathematical programming90C30, Mathematical programming, Nonlinear programming
90C05, Mathematical programming, Linear programming
90C55, Mathematical programming, Methods of successive quadratic programming type
65K05, Numerical analysis, Numerical mathematical programming methodsEn-ligne : MathSciNet | zbMath | Springerlink
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CMI Salle 2 | 90 NOC (Browse shelf(Opens below)) | Available | 07541-01 |
Chapter 1: Introduction, Chapter 2: Fundamentals of unconstrained optimization; Chapter 3: Line search methods; Chapter 4: Trust-region methods; Chapter 5: Conjugate gradient methods; Chapter 6: Quasi-Newton methods; Chapter 7: Large-scale unconstrained optimization; Chapter 8: Calculating derivatives; Chapter 9 (new): Derivative-free optimization; Chapter 10: Least-squares problems; Chapter 11: Nonlinear equations; Chapter 12: Theory of constrained optimization; Chapter 13: Linear programming: The simplex methods; Chapter 14: Linear programming: Interior-point methods; Chapter 15: Fundamentals of algorithms for nonlinear constrained optimization; Chapter 16: Quadratic programming; Chapter 17: Penalty and augmented Lagrangian methods; Chapter 18: Sequential quadratic programming; Chapter 19 (new): Interior-point methods for nonlinear programming; Appendices: A1. Elements of linear algebra; A2. Elements of analysis, geometry, topology; B. A Regularization procedure.
Bibliogr. p. [637]-652. Index
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