Optimally packing Hamilton cycles in random directed digraphs
Abstract
At most how many edge-disjoint Hamilton cycles does a given directed graph contain? It is easy to see that one cannot pack more than the minimum in-degree or the minimum out-degree of the digraph. We show that in the random directed graph $D(n,p)$ one can pack precisely this many edge-disjoint Hamilton cycles, with high probability, given that $p$ is at least the Hamiltonicity threshold, up to a polylog factor.
Based on a joint work with Asaf Ferber.
Surprising orderings
Abstract
Graphs (and structures) which have a linear ordering of their vertices with given local properties have a rich spectrum of complexities. Some have full power of class NP (and thus no dichotomy) but for biconnected patterns we get dichotomy. This also displays the importance of Sparse Incomparability Lemma. This is a joint work with Gabor Kun (Budapest).
The Oxford AI Gala invites up to 350 AI professionals, founders, and researchers to gather on 31 May 2025 at the Oxford University Museum of Natural History. This event is a unique opportunity to connect with Oxford's world-class AI ecosystem, global industry leaders, and University of Oxford researchers and students, fostering collaboration an