- Chapter 1: Introduction to Optimization-Based Design
- Chapter 2: Modeling Concepts
- Chapter 3: Unconstrained Optimization
- Chapter 4: Derivatives
- Chapter 5: Discrete Variable Optimization
- Chapter 6: Genetic and Evolutionary Optimization
- Chapter 7: Constrained Optimization 1: KKT Conditions
- Chapter 8: Constrained Optimization 2: SQP, IP, and GRG
- Chapter 9: Robust Design
- References

Cite as: Optimization Methods for Engineering Design, Parkinson, A.R., Balling, R., and J.D. Hedengren, Second Edition, Brigham Young University, 2018.

- All Chapters: Optimization Methods for Engineering Design
- Chapter 1: Optimization Design Basics
- Chapter 2: Mathematical Modeling
- Chapter 3: Unconstrained Optimization
- Chapter 4: Discrete Optimization
- Chapter 5: Genetic Algorithms
- Chapter 6: Constrained Optimization, Part I
- Chapter 7: Constrained Optimization, Part II
- Chapter 8, Part 1: Robust Optimization
- Chapter 8, Part 2: Interior Point Methods
- Chapter 9: Dynamic Optimization (see additional course material)

Cite as: Optimization Methods for Engineering Design, Parkinson, A.R., Balling, R., and J.D. Hedengren, First Edition, Brigham Young University, 2013.

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