The extension of Boltzmann-Gibbs thermostatistics, proposed by Tsallis, introduces an additional parameter q to the inverse temperature beta. Here, we show that a previously introduced generalized Metropolis dynamics to evolve spin models is not local and does not obey the detailed energy balance. In this dynamics, locality is only retrieved for q = 1, which corresponds to the standard Metropolis algorithm. Nonlocality implies very time-consuming computer calculations, since the energy of the whole system must be reevaluated when a single spin is flipped. To circumvent this costly calculation, we propose a generalized master equation, which gives rise to a local generalized Metropolis dynamics that obeys the detailed energy balance. To comp...
AbstractWe consider the problem of time-stepping/sampling for molecular and meso-scale particle dyna...
Monte Carlo simulations used for representing dynamical physical phenomena are studied in terms of a...
This thesis deals with the development and application in statistical physics of a general framework...
The extension of Boltzmann-Gibbs thermostatistics, proposed by Tsallis, introduces an additional par...
The extension of Boltzmann-Gibbs thermostatistics, proposed by Tsallis, introduces an additional par...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
The most efficient weights for Markov chain Monte Carlo calculations of physical observables are not...
In this paper, we review non-extensive statistics (Tsallis conjecture), and continue by analyzing th...
The Metropolis implementation of the Monte Carlo algorithm has been developed to study the equilibri...
We propose a new Monte Carlo technique in which the degeneracy of energy states is obtained with a M...
We review the application of the Monte Carlo method to a discrete spin model and to a scalar field th...
The finite-volume microscopic behaviour of a system in equilibrium is de¬termined by the Boltzmann-G...
Bayesian statistics is closely coupled with physics. The metropolis algorithm (1953) was developed b...
We consider the problem of time-stepping/sampling for molecular and meso-scale particle dynamics. Th...
We study the efficiency and theory behind various Markov chain Monte Carlo update methods (later MCM...
AbstractWe consider the problem of time-stepping/sampling for molecular and meso-scale particle dyna...
Monte Carlo simulations used for representing dynamical physical phenomena are studied in terms of a...
This thesis deals with the development and application in statistical physics of a general framework...
The extension of Boltzmann-Gibbs thermostatistics, proposed by Tsallis, introduces an additional par...
The extension of Boltzmann-Gibbs thermostatistics, proposed by Tsallis, introduces an additional par...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
The most efficient weights for Markov chain Monte Carlo calculations of physical observables are not...
In this paper, we review non-extensive statistics (Tsallis conjecture), and continue by analyzing th...
The Metropolis implementation of the Monte Carlo algorithm has been developed to study the equilibri...
We propose a new Monte Carlo technique in which the degeneracy of energy states is obtained with a M...
We review the application of the Monte Carlo method to a discrete spin model and to a scalar field th...
The finite-volume microscopic behaviour of a system in equilibrium is de¬termined by the Boltzmann-G...
Bayesian statistics is closely coupled with physics. The metropolis algorithm (1953) was developed b...
We consider the problem of time-stepping/sampling for molecular and meso-scale particle dynamics. Th...
We study the efficiency and theory behind various Markov chain Monte Carlo update methods (later MCM...
AbstractWe consider the problem of time-stepping/sampling for molecular and meso-scale particle dyna...
Monte Carlo simulations used for representing dynamical physical phenomena are studied in terms of a...
This thesis deals with the development and application in statistical physics of a general framework...