Stanford AA222 / CS361 Engineering Design Optimization I Linear Constrained Optimization

April 25, 2024 Joshua Ott of Stanford University Learn more about the speaker: https://profiles.stanford.edu/joshua-ott This course covers the design of engineering systems within a formal optimization framework. This course covers the mathematical and algorithmic fundamentals of optimization, including derivative and derivative-free approaches for both linear and non-linear problems, with an emphasis on multidisciplinary design optimization. Topics will also include quantitative methodologies for addressing various challenges, such as accommodating multiple objectives, automating differentiation, handling uncertainty in evaluations, selecting design points for experimentation, and principled methods for optimization when evaluations are expensive. Applications range from the design of aircraft to automated vehicles. Visit the course website: https://aa222.stanford.edu/ Enroll in the course: https://online.stanford.edu/courses/aa222-engineering-design-optimization