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Derivative-Free and Blackbox Optimization

Overview of attention for book
Cover of 'Derivative-Free and Blackbox Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Tools and Challenges in Derivative-Free and Blackbox Optimization
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    Chapter 2 Mathematical Background
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    Chapter 3 The Beginnings of DFO Algorithms
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    Chapter 4 Genetic Algorithms
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    Chapter 5 Nelder-Mead
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    Chapter 6 Positive Bases and Nonsmooth Optimization
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    Chapter 7 Generalised Pattern Search
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    Chapter 8 Mesh Adaptive Direct Search
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    Chapter 9 Building Linear and Quadratic Models
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    Chapter 10 Model-Based Descent
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    Chapter 11 Model-Based Trust Region
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    Chapter 12 Variables and Constraints
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    Chapter 13 Optimization Using Surrogates and Models
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    Chapter 14 Biobjective Optimization
Attention for Chapter 12: Variables and Constraints
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