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