16 citations · 21 across the 3 of their papers we have counts for
3 papers
Euclidean correlations in combinatorial optimization problems: a statistical physics approach
Andrea Di Gioacchino
In this thesis I discuss combinatorial optimization problems, from the statistical physics perspective. The starting point are the motivations which brought physicists together wit…
Perils of Embedding for Sampling Problems
Jeffrey Marshall, Andrea Di Gioacchino, Eleanor G. Rieffel
Advances in techniques for thermal sampling in classical and quantum systems would deepen understanding of the underlying physics. Unfortunately, one often has to rely solely on in…
Selberg integrals in 1D random Euclidean optimization problems
Sergio Caracciolo, Andrea Di Gioacchino, Enrico M. Malatesta +1
We consider a set of Euclidean optimization problems in one dimension, where the cost function associated to the couple of points and is the Euclidean distance between them…