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
Stochastic Methods and Constraints
Topics: SU-CS361 Stochastic Methods and Constraints Index
Lecture
Multi-Objective Optimization
Topics: SU-CS361 Multi-Objective Optimization, Sampling, Surrogates