Numerical Optimization
by Nocedal, Jorge

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Product Description
Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business.

Product Information
Binding: Hardcover
Specs: 664 pages | 2.85 Lbs
ISBN: 0387303030
ISBN-13: 9780387303031
Edition: 2
Publisher: Springer | Publish Date 07/06 | Copyright 2006

Table Of 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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