AA222/CS361 Applications Example Objectives efficiency safety accuracy Example Constraints cost weight (structural) integrity Why this is hard? high dimensional search spaces multiple competing objectives model uncertainty Queen Dido’s Problem you are granted a plot of land how do we surround it with the smallest amount of string? Design Workflow “Optimization: how do we ‘change design’ in response to evaluation” Logistics aa222.stanford.edu Overview Lectures Derivatives, Bracketing, Descent, and Approximations Topics: Derivatives, Bracking, Descent, and Approximation Lectures SU-CS361 APR022024 SU-CS361 APR042024 SU-CS361 APR092024 SU-CS361 APR112024 Stochastic Methods and Constraints Topics: SU-CS361 Stochastic Methods and Constraints Index Lecture SU-CS361 APR162024 SU-CS361 APR182024 SU-CS361 APR252024 SU-CS361 APR302024 Multi-Objective Optimization Topics: SU-CS361 Multi-Objective Optimization, Sampling, Surrogates Lecture SU-CS361 APR302024 Sampling and Surrogates Optimization Under Uncertainty What’s Next