Selberg integrals in 1D random Euclidean optimization problems
Disordered Systems and Neural Networks
2019-10-07 v3
Abstract
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 to an arbitrary power , and the points are chosen at random with flat measure. We derive the exact average cost for the random assignment problem, for any number of points, by using Selberg's integrals. Some variants of these integrals allows to derive also the exact average cost for the bipartite travelling salesman problem.
Keywords
Cite
@article{arxiv.1810.00587,
title = {Selberg integrals in 1D random Euclidean optimization problems},
author = {Sergio Caracciolo and Andrea Di Gioacchino and Enrico M. Malatesta and Luca G. Molinari},
journal= {arXiv preprint arXiv:1810.00587},
year = {2019}
}
Comments
9 pages, 2 figures