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Events tagged with Current undergraduate students

Monday, July 13, 2020 — 11:30 AM EDT

Title: On the flip graph on perfect matchings of complete graphs and sign reversal graphs

Speaker: Sebastian Cioaba
Affiliation: University of Delaware
Zoom: Contact Soffia Arnadottir

Abstract:

In this talk, we study the flip graph on the perfect matchings of a complete graph of even order. We investigate its combinatorial and spectral properties including connections to the signed reversal graph and we improve a previous upper bound on its chromatic number.

Thursday, July 16, 2020 — 2:30 PM EDT

Title: Dynamics of plane partitions

Speaker: Oliver Pechenik
Affiliation: University of Waterloo
Zoom: Contact Karen Yeats

Abstract:

Consider a plane partition P in an a X b X c box. The rowmotion operator sends P to the plane partition generated by the minimal elements of its complement. We show rowmotion resonates with frequency a+b+c-1, in the sense that each orbit size shares a prime divisor with a+b+c-1. This confirms a 1995 conjecture of Peter Cameron and Dmitri Fon-Der-Flaass. (Based on joint works with Kevin Dilks & Jessica Striker and with Becky Patrias.)

Friday, July 17, 2020 — 1:30 PM EDT

Title: Two unsolved problems: Birkhoff--von Neumann graphs and PM-compact graphs

Speaker: Nishad Kothari
Affiliation: CSE Department, Indian Institute of Technology Madras
Zoom: Contact Sharat Ibrahimpur

Abstract:

A well-studied object in combinatorial optimization is the {\it perfect matching polytope} $\mathcal{PMP}(G)$ of a graph $G$ --- the convex hull of the incidence vectors of all perfect matchings of $G$. A graph $G$ is {\it Birkhoff--von Neumann} if $\mathcal{PMP}(G)$ is characterized solely by non-negativity and degree constraints, and $G$ is {\it PM-compact} if the combinatorial diameter of $\mathcal{PMP}(G)$ equals one.

Friday, July 17, 2020 — 3:30 PM EDT

Title: Point Location and Active Learning - Learning Halfspaces Almost Optimally

Speaker: Shachar Lovett
Affiliation: UC San Diego
Zoom: Please email Emma Watson

Abstract:

The point location problem is a central problem in computational geometry. It asks, given a known partition of R^d by n hyperplanes, and an unknown input point, to find the cell in the partition to which the input point belongs. The access to the input is via linear queries. A linear query is specified by an hyperplane, and the result of the query is which side of the hyperplane the input point lies in.

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