Convex Optimization Project: Optimal Design of Experiments

Created using ChatSlide

This lecture delves into the essentials of experiment design, focusing on achieving the optimal accuracy in measurement locations through the understanding of linear models and errors. Learn about optimality criteria—D, A, E-optimality—and their respective metrics: minimizing matrix volume, axes sum, and axis length. Gain insights into convexity and its application in optimization, and explore the intricacies of dual problem formulations. Practical implementation using Python and `cvxpy` for...