Practical Mathematical Optimization: An Introduction To Basic Optimization Theory And Classical And…

Paperback | November 29, 2005

byJan Snyman

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This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.

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From the Publisher

This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.

From the Jacket

This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form without neglecting rigour. The work should enable the professional to apply optimization theory and algorithms to his own particular practical field of interest, be it engineering, physics, chemistry, o...

Format:PaperbackDimensions:278 pages, 9.25 × 6.1 × 0.27 inPublished:November 29, 2005Publisher:Springer USLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:038729824X

ISBN - 13:9780387298245

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Table of Contents

Preface Table of NotationChapter 1. IntroductionChapter 2. Line Search Descent Methods for Unconstrained MinimizationChapter 3. Standard Methods for Constrained OptimizationChapter 4. New Gradient-Based Trajectory and Approximation MethodsChapter 5. Example ProblemsChapter 6. Some TheoremsChapter 7. The Simplex Method for Linear Programming ProblemsBibliographyIndex