5 citations · 6 across the 6 of their papers we have counts for
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math.NA2020★ 5 cited
Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation
Bryce Chudomelka, Youngjoon Hong, Hyunwoo Kim +1
Nonlinear differential equations are challenging to solve numerically and are important to understanding the dynamics of many physical systems. Deep neural networks have been appli…
math.CO2020
The threshold for the square of a Hamilton cycle
Jeff Kahn, Bhargav Narayanan, Jinyoung Park
Resolving a conjecture of Kühn and Osthus from 2012, we show that is the threshold for the random graph to contain the square of a Hamilton cycle.
math.CO2020
Tuza's Conjecture for random graphs
Jeff Kahn, Jinyoung Park
A celebrated conjecture of Zs. Tuza says that in any (finite) graph, the minimum size of a cover of triangles by edges is at most twice the maximum size of a set of edge-disjoint t…