Faster Monte Carlo simulations at low temperatures. The waiting time method

We discuss a rejectionless global optimization technique which, while being technically similar to the recently introduced method of Extremal Optimization, still relies on a physical analogy with a thermalizing system. This method can be used at constant temperature or combined with annealing techni...

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Bibliographic Details
Published in:Computer physics communications 2001-11, Vol.141 (2), p.260-267
Main Authors: Dall, Jesper, Sibani, Paolo
Format: Article
Language:English
Subjects:
Computational methods in statistical physics and nonlinear dynamics
Condensed matter: electronic structure, electrical, magnetic, and optical properties
Exact sciences and technology
General theory and models of magnetic ordering
Magnetic properties and materials
Mathematical methods in physics
Monte carlo methods
Numerical approximation and analysis
Numerical optimization
Physics
Spin-glass and other random models
Statistical physics, thermodynamics, and nonlinear dynamical systems
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Summary:We discuss a rejectionless global optimization technique which, while being technically similar to the recently introduced method of Extremal Optimization, still relies on a physical analogy with a thermalizing system. This method can be used at constant temperature or combined with annealing techniques, and is especially well suited for studying the low temperature relaxation of complex systems as glasses and spin glasses.
ISSN:0010-4655
1879-2944
DOI:10.1016/S0010-4655(01)00412-X