The NP-complete problems of partitioning and colouring of random graphs, with p partitions and colours respectively, are mapped onto the statistical mechanical problem of p-state Potts glasses. An estimate of the cost functions of these optimisation problems has been derived using the Potts glass mean-field theory. This estimate applies to dense graphs in the thermodynamic limit. An exact expression for the cost function in the large-p limit is given.
Graph Optimization Problems and the Potts Glass
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