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Simulated Tempering: A New Monte Carlo Scheme
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We propose a new global optimization method ({\em Simulated Tempering}) for simulating effectively a system with a rough free energy landscape (i.e. many coexisting states) at finite non-zero temperature. This method is related to simulated annealing, but here the temperature becomes a dynamic variable, and the system is always kept at equilibrium. We analyze the method on the Random Field Ising Model, and we find a dramatic improvement over conventional Metropolis and cluster methods. We analyze and discuss the conditions under which the method has optimal performances.
Forward citations
Cited by 2 Pith papers
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Non-perturbative renormalization of the energy momentum tensor in the 2d O(3) nonlinear sigma model
The authors determine the renormalization constants z_T and Z_T for the energy-momentum tensor in the non-singlet sector using a modified lattice action with shifted boundary conditions and gradient-flow coupling.
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