Linear and Mixed Integer Optimization Solvers:
 Theoretical, Practical, and Software Engineering Aspects

There are many ways to solve a linear or mixed integer program. In my lecture I will survey (some of)  the solution algorithms that have either theoretical appeal or prominence in practice. I will mention the  interplay between theory and practice and the role that software engineering plays when it comes to  deciding which (combination of) methods to employ in practice. My lecture will end with a survey of the power and performance (of some) of the current state-of-the-art codes in LP and MIP optimization.

back to program