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Contents
Preface
Acknowledgments
1 Introduction
2 Derivatives and Gradients
3 Bracketing
4 Local Descent
5 First-Order Methods
6 Second-Order Methods
7 Direct Methods
8 Stochastic Methods
9 Population Methods
10 Constraints
11 Linear Constrained Optimization
12 Multiobjective Optimization
13 Sampling Plans
14 Surrogate Models
15 Probilistic Surrogate Models
16 Surrogate Optimization
17 Optimization under Uncertainty
18 Uncertainty Propagation
19 Discrete Optimization
20 Expression Optimization
21 Multidisciplinary Optimization
A Julia
B Test Funcions
C Mathematical Concepts
D Solutions
Bibliography
Index
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