Tutte Colloquium -Audrey Béliveau-Combinatorial Structure and Algorithms for Treatment Rankings
| Speaker: | Audrey Béliveau |
| Affiliation: | University of Waterloo |
| Location: | MC 5501 |
Abstract:
| Speaker: | Audrey Béliveau |
| Affiliation: | University of Waterloo |
| Location: | MC 5501 |
Abstract:
| Speaker: | Alexandre Zotine |
| Affiliation: | University of Saarland |
| Location: | MC 5479 |
Abstract: An orbital scheme D of type M² = 0 is the closure of a conjugacy class of some set of n × n upper triangular matrices which are nilpotent of order 2. The geometric components of the orbit scheme are called orbital varieties of type M² = 0, and recently their invariants have been connected to statistical mechanics. In the setting of M² = 0, there are combinatorial methods for studying these invariants via the action of the Borel group of upper triangular invertible matrices. In this talk, we introduce a new pipe dream framework for computing and understanding these invariants. This is joint work with Megumi Harada, Illya Kierkosz, Allen Knutson, Emma Naguit, Brett Nasserden, Naveena Rangunathan, and Adam van Tuyl.
There will be a pre-seminar presenting relevant background at beginning graduate level starting at 1:30pm in MC 5417.
Abstract: A family of sets $\mathcal{C}$ over a finite ground set $E(\mathcal{C})$ is a clutter if no member of $\mathcal{C}$ properly contains another. A clutter is ideal if its covering polyhedron is integral. A rational number whose denominator is a power of two is called \emph{dyadic}. A longstanding conjecture of Paul Seymour, known as the Dyadic Conjecture, predicts that, for every ideal clutter, the dual of the set covering linear program admits an optimal solution in which all variables take dyadic values. We present a local version of this conjecture and provide evidence for it by proving the proposed local statement for binary clutters under certain assumptions.
This is joint work with Bertrand Guenin and Levent Tuncel.
|
| Speaker: | Francisco J. Aragón Artacho |
| Affiliation: | University of Alicante |
| Location: | MC 5501 |
Abstract: When an optimization problem is structured, it is normally advantageous to use this feature when designing algorithms to solve it. Following the divide-and-conquer paradigm, splitting algorithms iteratively solve simpler problems that are defined by separately using some parts of the original problem. In this talk, we will recall some classical methods and present some recent advances in this subject, paying special attention to splitting methods devised by graphs.