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Practical Mathematical Optimization

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Cover of 'Practical Mathematical Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 INTRODUCTION
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    Chapter 2 LINE SEARCH DESCENT METHODS FOR UNCONSTRAINED MINIMIZATION
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    Chapter 3 STANDARD METHODS FOR CONSTRAINED OPTIMIZATION
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    Chapter 4 BASIC EXAMPLE PROBLEMS
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    Chapter 5 SOME BASIC OPTIMIZATION THEOREMS
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    Chapter 6 NEW GRADIENT-BASED TRAJECTORY AND APPROXIMATION METHODS
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    Chapter 7 SURROGATE MODELS
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    Chapter 8 GRADIENT-ONLY SOLUTION STRATEGIES
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    Chapter 9 PRACTICAL COMPUTATIONAL OPTIMIZATION USING PYTHON
Attention for Chapter 9: PRACTICAL COMPUTATIONAL OPTIMIZATION USING PYTHON
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