Ted Ralphs

Welcome to my home page! Here you can find descriptions of my teaching, research, and other fun stuff. My research focuses mainly on various aspects of discrete optimization and spans both theory and computation. To see what I’m up to, check out the links below. If you want to read articles from the popular press about the kinds of things I work on, click here. You can also find me in some of the usual places. Professionally, my primary social media platforms are Twitter (trying to quit), Mastodon, and Github. I’m on Zotero and half-heartedly on Research Gate, too.

• News (hmm, how often do you need to update to call it “news”?)
  • Our paper On The Relationship Between the Value Function and the Efficient Frontier of a Mixed Integer Linear Optimization Problem was accepted to Mathematical Methods of Operations Research!
  • Our paper Mixed Integer Bilevel Optimization with a k-optimal Follower: A Hierarchy of Bounds was accepted to Mathematical Programming Computation!
  • I was elected an INFORMS Fellow.
  • Our paper A Framework for Generalized Benders’ Decomposition and its Application to Multilevel Optimization was accepted for publication at Mathematical Programming Series B!
  • Our paper On the Complexity of Inverse Mixed Integer Linear Optimization was finally accepted for publication at SIAM Journal on Optimization!
  • I may or may not start to blog, depending on whether I ever get around to posting anything more here.
  • Want to know what “code” is? How a computer works? Read this. Great stuff!
  • How does one model a concrete problem? What is an abstraction? How are models validated? Find out here.
  • Here’s an article in Forbes about Schneider National’s use of optimization.
  • Here is a recent video explaining what industrial engineering is.
  • There was an article in the New York Times about the abundance of jobs requiring knowledge of statistics.
  • There was an article in the NY Times about applying operations research techniques to hospitals.
  • A recent NPR program explained what algorithms are.
• Research
• Teaching
• Curriculum Vitae
• Diversions
• The Laboratory for Computational Optimization Research at Lehigh (CORAL)
• COIN-OR Foundation
• Lehigh High-Performance Computing
• ISE Home Page
• My ORCID

“In science, if you know what you are doing, you should not be doing it. In engineering, if you do not know what you are doing, you should not be doing it. Of course, you seldom, if ever, see either pure state.”

—Richard Hamming, The Art of Doing Science and Engineering

“I have no particular talents. I am only passionately curious.”

—Albert Einstein

Unless otherwise noted, all work on this site is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License.