Numerical Optimization
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 and derivative-free methods for optimization.

1101304957
Numerical Optimization
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 and derivative-free methods for optimization.

79.99 In Stock
Numerical Optimization

Numerical Optimization

Numerical Optimization

Numerical Optimization

Hardcover(2nd ed. 2006)

$79.99 
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Overview

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 and derivative-free methods for optimization.


Product Details

ISBN-13: 9780387303031
Publisher: Springer New York
Publication date: 07/27/2006
Series: Springer Series in Operations Research and Financial Engineering
Edition description: 2nd ed. 2006
Pages: 664
Product dimensions: 7.01(w) x 9.25(h) x 0.06(d)

Table of 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.
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