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Practical Mathematical Optimization: Basic Optimization Theory and Gradient-Based Algorithms

Practical Mathematical Optimization: Basic Optimization Theory and Gradient-Based Algorithms

Authors
Publisher Springer, Berlin
Year
Pages 372
Version hardback
Language English
ISBN 9783319775852
Categories Optimization
$138.17 (with VAT)
614.25 PLN / €131.69 / £114.32
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Book description

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.

Practical Mathematical Optimization: Basic Optimization Theory and Gradient-Based Algorithms

Table of contents

1.Introduction.- 2.Line search descent methods for unconstrained minimization.-3. Standard methods for constrained optimization.-4. Basic Example Problems.- 5. Some Basic Optimization Theorems.-  6. New gradient-based trajectory and approximation methods.- 7. Surrogate Models.- 8. Gradient-only solution strategies.- 9. Practical computational optimization using Python.- Appendix.- Index.

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