Operations Research & Optimization

General Info

Some codes, incomplete and imperfect, are available on my GitHub page.

I now work almost exclusively in Julia, which is the language of choice for scientific computing. You will find more information on the dedicated page.

Course Material

• Introduction to OR: Operations Research Models (IFT1575 course notes, Université de Montréal) (sources).
• Optimization:
  • Linear Programming
  • Non-linear Programming
  • Stochastic Programming
  • Notebook examples (Exercises and implementation)
• Discrete Event Simulation: Course taught at the Université de Montréal.

Recommended Reading

• Suelette Dreyfus, Underground: Tales of hacking, madness and obsession on the electronic frontier, 2001. Local copy.
  Numerical support is provided as Julia notebooks. Click here for more details.

Resources

• Myths and counterexamples in Mathematical Programming
• Spurious correlations
• Think-Check-Submit
• References used in my publications (BibTeX source)

Physics for Kids

• Forces, Motion & Gravity — lessons and interactive simulations about Newton's Second Law

Theory of Evolution

• On the Origin of Species, Charles Darwin, 1859.