A frozen glass phase in the multi-index matching problem
Disordered Systems and Neural Networks
2009-11-10 v1
Abstract
The multi-index matching is an NP-hard combinatorial optimization problem; for two indices it reduces to the well understood bipartite matching problem that belongs to the polynomial complexity class. We use the cavity method to solve the thermodynamics of the multi-index system with random costs. The phase diagram is much richer than for the case of the bipartite matching problem: it shows a finite temperature phase transition to a completely frozen glass phase, similar to what happens in the random energy model. We derive the critical temperature, the ground state energy density, and properties of the energy landscape, and compare the results to numerical studies based on exact analysis of small systems.
Cite
@article{arxiv.cond-mat/0407623,
title = {A frozen glass phase in the multi-index matching problem},
author = {O. C. Martin and M. Mezard and O. Rivoire},
journal= {arXiv preprint arXiv:cond-mat/0407623},
year = {2009}
}