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Numerical optimization / Jorge Nocedal, Stephen J. Wright.

By: Contributor(s): Material type: TextTextSeries: Springer series in operations researchPublication details: New York : Springer, c2006.Edition: 2nd edDescription: xxii, 664 p. : ill. ; 25 cmISBN:
  • 9788132204800
Subject(s): LOC classification:
  • QA402.5 .N62 2006
Other classification:
  • 83.03
Contents:
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.
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Holdings
Item type Current library Call number Status Barcode
General Collection Main Campus Library General Stacks QA402.5 .N62 2006 (Browse shelf(Opens below)) Available 00024728

Includes bibliographical references (p. [637]-652) and index.

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.

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