Computational Mixed Integer Nonlinear Programming
Coffee at 3:30pm in WID room 3280 and Presentation at 4:00pm
Anyone without WID access can use the special event elevator on the WID 1st floor (near ALDO Café) to access the 3rd floor teaching lab
Speaker: Jeffrey Linderoth
Professor, Industrial and Systems Engineering, UW-Madison
Presentation Title:
Computational Mixed Integer Nonlinear Programming
Abstract:
Optimization models that contain both nonlinear and discrete components are known as Mixed Integer Nonlinear Programs (MINLP)s. MINLPs have been proposed for many diverse and important applications. Unfortunately, current algorithms and software are often unable to solve practically-sized instances of these important models. This talk will give an overview of our ongoing research efforts aimed at addressing the mismatch between natural MINLP models and robust algorithms and software for solving them. An overarching theme of our research is to study and exploit model-specific mathematical structures. The talk will discuss solution techniques for both convex and nonconvex MINLPs.