| Time |
Event |
Details |
| 9:00-9:30 |
Light Breakfast |
Location: Keller Hall 3-176 |
| 9:30-9:45 |
Opening Remarks |
Location: Keller Hall 3-180 |
| 9:45-10:30 |
Philipp Christophel (SAS)
|
Implementing Numerical Optimization Algorithms
|
| 10:30-10:45 |
Tea / Coffee Break |
Location: Keller Hall 3-176 |
| 10:45-11:30 |
Philipp Christophel (SAS)
|
Implementing Numerical Optimization Algorithms
|
| 11:30-1:15 |
Lunch (not included) |
|
| 1:15-2:00 |
Ricardo Fukasawa (Waterloo)
|
Column generation and IP (from textbook to practice)
|
| 2:00-2:15 |
Tea / Coffee Break |
Location: Keller Hall 3-176 |
| 2:15-3:00 |
Ricardo Fukasawa (Waterloo)
|
Column generation and IP (from textbook to practice)
|
| 3:00-3:15 |
Tea / Coffee Break |
Location: Keller Hall 3-176 |
| 3:15-4:00 |
Andrés Gómez (USC)
|
Methodologies and Algorithms for Structured Mixed-Integer Nonlinear Optimization
Mixed-integer nonlinear optimization problems (MINLPs) are increasingly central to applications in machine learning, model predictive control, energy systems, finance, and beyond. Despite significant advances in MINLP theory and algorithms over the past two decades, deploying these methods to solve complex, real-world problems remains a formidable challenge. In this tutorial, we will survey recent methodologies, algorithms, and theoretical developments that have demonstrated practical success in solving structured MINLPs. We will also discuss open challenges, limitations of current approaches, and promising directions for future research.
|
| 4:00-4:15 |
Tea / Coffee Break |
Location: Keller Hall 3-176 |
| 4:15-5:00 |
Andrés Gómez (USC)
|
Methodologies and Algorithms for Structured Mixed-Integer Nonlinear Optimization
Mixed-integer nonlinear optimization problems (MINLPs) are increasingly central to applications in machine learning, model predictive control, energy systems, finance, and beyond. Despite significant advances in MINLP theory and algorithms over the past two decades, deploying these methods to solve complex, real-world problems remains a formidable challenge. In this tutorial, we will survey recent methodologies, algorithms, and theoretical developments that have demonstrated practical success in solving structured MINLPs. We will also discuss open challenges, limitations of current approaches, and promising directions for future research.
|
| 5:00-5:15 |
Summer School Group Photo |
|
| 5:45-8:30 |
Optional (not included): Group dinner at The Market at Malcolm Yards |
Location: 501 30th Ave SE, Minneapolis, MN 55414 |
