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Numerical optimization

Author: Jorge Nocedal; Stephen J Wright
Publisher: New York : Springer, ©2006.
Series: Springer series in operations research.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Summary:
'Numerical Optimization' presents a comprehensive description of the effective methods in continuous optimization. The book includes chapters on nonlinear interior methods & derivative-free methods for optimization. It is useful for graduate students, researchers and practitioners.
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Additional Physical Format: Online version:
Nocedal, Jorge.
Numerical optimization.
New York : Springer, ©2006
(OCoLC)607737314
Online version:
Nocedal, Jorge.
Numerical optimization.
New York : Springer, ©2006
(OCoLC)609291332
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Jorge Nocedal; Stephen J Wright
ISBN: 0387303030 9780387303031 0387987932 9780387987934 9780387400655 0387400656
OCLC Number: 68629100
Description: xxii, 664 pages : illustrations ; 25 cm.
Contents: Fundamentals of unconstrained optimization --
Line search methods --
Trust-region methods --
Conjugate gradient methods --
Quasi-Newton methods --
Large-scale unconstrained optimization --
Calculating derivatives --
Derivative-free optimization --
Least-squares problems --
Nonlinear equations --
Theory of constrained optimization --
Linear programming: the simplex method --
Linear programming: interior-point methods --
Fundamentals of algorithms for nonlinear constrained optimization --
Quadratic programming --
Penalty and augmented Lagrangian methods --
Sequential quadratic programming --
Interior-point methods for nonlinear programming --
Background material --
Regularization procedure.
Series Title: Springer series in operations research.
Responsibility: Jorge Nocedal, Stephen J. Wright.
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Abstract:

The new edition of this book presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It is enhanced by new chapters on nonlinear interior methods  Read more...

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MMOR Mathematical Methods of Operations Research, 2001: "The books looks very suitable to be used in an graduate-level course in optimization for students in mathematics, operations research, Read more...

 
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