Links

I blog at Farkas’ Dilemma. You can find me on Q&A sites like OR StackExchange, OR-Exchange, and Theoretical CS StackExchange. There’s also Google Scholar, Linkedin, GitHub, YouTube, Mastodon, and Twitter. Until recently, I was a leaf in the math genealogy tree. My Erdős number is three. I have a rock musician network hanging in my office.

Here are some tips for PhD students (pdf) that I wrote.

Every now and then, I come across an excellent piece of scientific writing that I feel the need to share:

• The great mathematical sputnik of 1979
• What to do when the trisector comes
• What does a confidence interval mean?
• Who can name the bigger number?
• An interview with Jack Edmonds
• Proofs and refutations

Cole Smith has a great collection of writing tips and style guidelines. I’ve also written some LaTeX tips based on my own preferences:

• On formatting mathematical programming formulations in LaTeX
• Declare your operators (e.g., conv, proj, dist, diam)

On my GitHub page, I have posted several Python demos:

• Introductory Python Examples
• Introductory Gurobi Examples
• Introductory NetworkX Examples
• Location Models
• TSP_VRP
• Introductory Districting Examples
• District Enumeration
• Reapportionment
• Combinatorial Optimization in Gurobi
• Lagrangian tools for k-median problem (C++)

Solving problems on Project Euler is a great way to learn a (new) programming language. Ryo Kimura developed a solid collection of computational OR materials. Here is my collection of redistricting resources from an OR perspective.