Ancillaries for the textbook
This repository contains resources related to Algorithms for Optimization by Mykel J. Kochenderfer and Tim A. Wheeler (MIT Press, 2019).
The problem environments used in the book (summarized in Appendix F) have been implemented in the Julia package DecisionMakingProblems.jl.
The code for generating all figures can be found in this repository.
Slides can be downloaded here.
As more universities begin offering courses based on the textbook (or has as recommended reading), we will link to their public syllabi.
- Stanford University, AA222: Engineering Design Optimization
- Purdue University, CS520: Computational Methods in Optimization
- Carnegie Mellon University, 10-425/10-625: Introduction to Convex Optimization
- Johns Hopkins University, 685.621.81 - Algorithms for Data Science
Feel free to file a pull request or issue to add additional courses that use the textbook.
Errata to the print version can be found here. You may also file issue reports there.