Events by date

Title: Partial geometric designs, directed strongly regular graphs, and association scheme

Abstract: A partial geometric design with parameters $(v, b, k, r; \alpha, \beta)$ is a tactical configuration $(P, \mathcal{B})$ (with $|P|=v$, $|\mathcal{B}|=b$, every point $p\in P$ belonging to $r$ blocks, and every block $B\in\mathcal{B}$ consisting of $k$ points) satisfying the property:

{for any pair $(p, B)\in P\times \mathcal{B}$, the number of flags $(q, C)$ with $q\in B$ and $C\ni p$ equals to $\alpha  \mbox{ if } p\notin B$ and to $\beta  \mbox{ if } p\in B$.}

Neumaier studied partial geometric designs in detail in his article, ``$t\frac12$-designs," [JCT A {\bf 28}, 226-248 (1980)]. He investigated their connection with strongly-regular graphs and gave various characterizations of partial geometries, bipartite graphs, symmetric 2-designs, and transversal designs in terms of partial geometric designs.

Title: A Primal-Dual Extension of the Goemans--Williamson Algorithm for the Weighted Fractional Cut Covering Problem

Abstract:

A cut in a graph \(G = (V, E)\) is a set of edges which has precisely one endpoint in \(S\), for a given subset \(S\) of \(V\). The fractional cut-covering number is the optimal value of a linear programming relaxation for the problem of covering each edge by a set of cuts. We define a semidefinite programming relaxation of fractional cut covering whose approximate optimal solutions may be rounded into a fractional cut cover via a randomized algorithm.

Title: An invitation to monotone operators and their applications in optimization

Abstract: In this talk, I give an overview of the theory of monotone operators and its connection to optimization algorithms. This talk is a good introduction to how abstract theoretical results serve as bases for successful algorithms in practice.