Polynomial iterative algorithms for coloring and analyzing random graphs

A Braunstein, R Mulet, A Pagnani, M Weigt, R Zecchina - Physical Review E, 2003 - APS
Physical Review E, 2003APS
We study the graph coloring problem over random graphs of finite average connectivity c.
Given a number q of available colors, we find that graphs with low connectivity admit almost
always a proper coloring whereas graphs with high connectivity are uncolorable. Depending
on q, we find with a one-step replica-symmetry breaking approximation the precise value of
the critical average connectivity c q. Moreover, we show that below cq there exists a
clustering phase c∈[cd, cq] in which ground states spontaneously divide into an exponential …
Abstract
We study the graph coloring problem over random graphs of finite average connectivity c. Given a number q of available colors, we find that graphs with low connectivity admit almost always a proper coloring whereas graphs with high connectivity are uncolorable. Depending on q, we find with a one-step replica-symmetry breaking approximation the precise value of the critical average connectivity c q. Moreover, we show that below c q there exists a clustering phase c∈[c d, c q] in which ground states spontaneously divide into an exponential number of clusters. Furthermore, we extended our considerations to the case of single instances showing consistent results. This leads us to propose a different algorithm that is able to color in polynomial time random graphs in the hard but colorable region, ie, when c∈[c d, c q].
American Physical Society
以上显示的是最相近的搜索结果。 查看全部搜索结果