In the model of randomly perturbed graphs we consider the union of a deterministic graph Gα with minimum degree αn and the binomial random graph G(n, p). This model was introduced by Bohman, Frieze, and Martin and for Hamilton cycles their result bridges the gap between Dirac’s theorem and the results by Pósa and Korshunov on the threshold in G(n, p). In this note we extend this result in Gα ∪G(n, p) to sparser graphs with α = o(1). More precisely, for any ε > 0 and α: N ↦→ (0, 1) we show that a.a.s. Gα ∪ G(n, β/n) is Hamiltonian, where β = −(6 + ε) log(α). If α > 0 is a fixed constant this gives the aforementioned result by Bohman, Frieze, and Martin and if α = O(1/n) the random part G(n, p) is sufficient for a Hamilton cycle. We also disc...
We provide an annotated bibliography for the study of Hamilton cycles in random graphs and hypergrap...
A random bipartite graph D with 2n vertices is generated by allowing each of the n2 possible edges t...
This thesis contains several embedding results for graphs in both random and non random settings. M...
In the model of randomly perturbed graphs we consider the union of a deterministic graph Gα with min...
We study the model G 8 G(n; p) of randomly perturbed dense graphs, where G is any n-vertex graph wit...
AbstractWe describe a polynomial time (O(n3 log n)) algorithm which has a high probability of findin...
We solve a problem of Krivelevich, Kwan and Sudakov concerning the threshold for the containment of ...
We study the emergence of loose Hamilton cycles in subgraphs of random hypergraphs. Our main result ...
AbstractPósa proved that a random graph with cnlogn edges is Hamiltonian with probability tending to...
We show that, in almost every $n$-vertex random directed graph process, a copy of every possible $n$...
In his seminal 1976 paper, P\'osa showed that for all $p\geq C\log n/n$, the binomial random graph $...
We describe a general approach of determining the distribution of spanning subgraphs in the random g...
AbstractGiven a (directed or undirected) graph G, finding the smallest number of additional edges wh...
AbstractLet r ⩾ 1 be a fixed positive integer. We give the limiting distribution for the probability...
AbstractPósa proved that a random graph with cn log n edges is Hamiltonian with probability tending ...
We provide an annotated bibliography for the study of Hamilton cycles in random graphs and hypergrap...
A random bipartite graph D with 2n vertices is generated by allowing each of the n2 possible edges t...
This thesis contains several embedding results for graphs in both random and non random settings. M...
In the model of randomly perturbed graphs we consider the union of a deterministic graph Gα with min...
We study the model G 8 G(n; p) of randomly perturbed dense graphs, where G is any n-vertex graph wit...
AbstractWe describe a polynomial time (O(n3 log n)) algorithm which has a high probability of findin...
We solve a problem of Krivelevich, Kwan and Sudakov concerning the threshold for the containment of ...
We study the emergence of loose Hamilton cycles in subgraphs of random hypergraphs. Our main result ...
AbstractPósa proved that a random graph with cnlogn edges is Hamiltonian with probability tending to...
We show that, in almost every $n$-vertex random directed graph process, a copy of every possible $n$...
In his seminal 1976 paper, P\'osa showed that for all $p\geq C\log n/n$, the binomial random graph $...
We describe a general approach of determining the distribution of spanning subgraphs in the random g...
AbstractGiven a (directed or undirected) graph G, finding the smallest number of additional edges wh...
AbstractLet r ⩾ 1 be a fixed positive integer. We give the limiting distribution for the probability...
AbstractPósa proved that a random graph with cn log n edges is Hamiltonian with probability tending ...
We provide an annotated bibliography for the study of Hamilton cycles in random graphs and hypergrap...
A random bipartite graph D with 2n vertices is generated by allowing each of the n2 possible edges t...
This thesis contains several embedding results for graphs in both random and non random settings. M...