Course Information
- Syllabus
- Book Chapters
- Info Sheet
- Schedule
- Expectations
- Competencies
- Optimization Software
- YouTube Playlist
Homework
- 1-Optimization Basics
- 2-Two Bar Truss
- 3-Spring Design
- 4-Heat Integration
- 5-Slurry Pipeline
- 6-Quasi-Newton Methods
- 7-Discrete Design
- 8-Simulated Annealing
- 9-KKT Conditions
- 10-Interior Point Method
Projects
Activities
- 1-MATLAB and Python
- 2-Equation Residuals
- 3-Financial Objectives
- 4-Parallel Computing
- 5-Advanced Programming
- 6-Logical Conditions
- 7-Simulated Annealing
- 8-Climate Control
- 9-Dynamic Estimation
- 10-Vapor Liquid Equilibrium
- 11-Ethyl Acetate Kinetics
- 12-Dye Fading Kinetics
Lecture Notes
- Optimization Introduction
- Mathematical Modeling
- Unconstrained Optimization
- Discrete Optimization
- Genetic Algorithms
- Constrained Optimization
- Robust Optimization
- Dynamic Optimization
Extra Content