Systems | Information | Learning | Optimization
 

SILO: Minimizing quadratics over integers

Abstract:

Mixed integer quadratic programming is the problem of minimizing a quadratic polynomial over points in a polyhedral region with some integer components. It is a natural extension of mixed integer linear programming, and it has a wide array of applications. In this talk, I will survey some recent theoretical developments in mixed integer quadratic programming, with a focus on complexity, algorithms, and fundamental properties.

February 12, 2025
12:30 pm (1h)

Researchers’ Link

Alberto del Pia, UW-Madison