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Numerical Optimization~tqw~darksiderg

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Numerical Optimization
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Type.................: Ebook
Part Size............: 3,172,334 bytes




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Posted by............: ~tqw~

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Release Notes
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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 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. It also serves as a handbook for
researchers and practitioners in the field. The authors have strived to produce
a text that is pleasant to read, informative, and rigorous-one that reveals both
the beautiful nature of the discipline and its practical side.

Table of Contents

1 Introduction 1
2 Fundamentals of unconstrained optimization 10
3 Line search methods 30
4 Trust-region methods 66
5 Conjugate gradient methods 101
6 Quasi-Newton methods 135
7 Large-scale unconstrained optimization 164
8 Calculating derivatives 193
9 Derivative-free optimization 220
10 Least-squares problems 245
11 Nonlinear equations 270
12 Theory of constrained optimization 304
13 Linear programming : the simplex method 355
14 Linear programming : interior-point methods 392
15 Fundamentals of algorithms for nonlinear constrained optimization 421
16 Quadratic programming 448
17 Penalty and augmented Lagrangian methods 497
18 Sequential quadratic programming 529
19 Interior-point methods for nonlinear programming 563

Product Details

* ISBN: 0387303030
* ISBN-13: 9780387303031
* Format: Textbook Hardcover, 664pp
* Publisher: Springer-Verlag New York, LLC
* Pub. Date: June 2006
* Edition Description: REV
* Edition Number: 2

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