MICROCANONICAL METHOD FOR THE STUDY OF FIRST-ORDER TRANSITIONS
A simple microcanonical strategy for the simulation of first-order phase transitions is presented. The method does not require iterative parameters optimization, nor long waits for tunneling between the ordered and the disordered phases. It is illustrated in the Q-states Potts model in two dimensions for which several exact results are known, and where a cluster method nicely works.