Optimization is an important area of applied mathematics that bridges mathematical theory with applications in diverse fields. This Twenty Fourth Annual Midwest Optimization Meeting provides opportunities for researchers in this region with different backgrounds to come together to share their research and teaching experiences, forge collaborations with colleagues from different institutions, and to expose students to applications of mathematical theory. This workshop will focus on bringing together several of the diverse communities working on large scale optimization models that arise from variational problems.
Registration information, schedule, and abstracts click here
Title: Stochastic Minimum Norm Combinatorial OptimizationSpeaker: Sharat Ibrahimpur Affiliation: Location: MC 6029 or contact Rian Neogi for Zoom link
Abstract: In this work, we introduce and study stochastic minimum-norm optimization. We have an underlying combinatorial optimization problem where the costs involved are random variables with given distributions; each feasible solution induces a random multidimensional cost vector. The goal is to find a solution that minimizes the expected norm of the induced cost vector, for a given monotone, symmetric norm.
Title: The ADMM: Past, Present, and FutureSpeaker: Jonathan Eckstein Affiliation: Rutgers University Location: MC 5501 or contact Melissa Cambrdige for Zoom link
Abstract: Over the past 15 years, the alternating direction method of multipliers (ADMM) has become a standard optimization method. This talk will cover the origins of the ADMM, its subsequent development, and what to expect in the future.