We describe the canonical and microcanonical Monte Carlo algorithms for different systems that can be described by spin models. Sites of the lattice, chosen at random, interchange their spin values, provided they are different. The canonical ensemble is generated by performing exchanges according to the Metropolis prescription whereas in the microcanonical ensemble, exchanges are performed as long as the total energy remains constant. A systematic finite size analysis of intensive quantities and a comparison with results obtained from distinct ensembles are performed and the quality of results reveal that the present approach may be an useful tool for the study of phase transitions, specially first-order transitions. (C) 2009 Elsevier B.V. ...
We review the application of the Monte Carlo method to a discrete spin model and to a scalar field th...
Two methods of simulations are described: an exact one - transfer matrixtechnique and a statistical ...
This thesis presents an in-depth study of statistical mechanical systems having microcanonical equi...
Monte Carlo simulations have boosted the numerical study of several different physical systems and i...
In this paper, applications of the Monte Carlo technique to estimate the static and dynamic properti...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
Recently we have developed a Monte Carlo algorithm for lattice spin systems that relies exclusively ...
A long-range interacting spin chain placed in a staggered magnetic field can exhibit either first or...
We apply the event-chain Monte Carlo algorithm to classical continuum spin models on a lattice and c...
AbstractRecently we have developed a Monte Carlo algorithm for lattice spin systems that relies excl...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
An e#cient Monte Carlo algorithm for the simulation of spin models with long-range interactions is d...
The most efficient weights for Markov chain Monte Carlo calculations of physical observables are not...
We review the application of the Monte Carlo method to a discrete spin model and to a scalar field th...
Two methods of simulations are described: an exact one - transfer matrixtechnique and a statistical ...
This thesis presents an in-depth study of statistical mechanical systems having microcanonical equi...
Monte Carlo simulations have boosted the numerical study of several different physical systems and i...
In this paper, applications of the Monte Carlo technique to estimate the static and dynamic properti...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
Recently we have developed a Monte Carlo algorithm for lattice spin systems that relies exclusively ...
A long-range interacting spin chain placed in a staggered magnetic field can exhibit either first or...
We apply the event-chain Monte Carlo algorithm to classical continuum spin models on a lattice and c...
AbstractRecently we have developed a Monte Carlo algorithm for lattice spin systems that relies excl...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
An e#cient Monte Carlo algorithm for the simulation of spin models with long-range interactions is d...
The most efficient weights for Markov chain Monte Carlo calculations of physical observables are not...
We review the application of the Monte Carlo method to a discrete spin model and to a scalar field th...
Two methods of simulations are described: an exact one - transfer matrixtechnique and a statistical ...
This thesis presents an in-depth study of statistical mechanical systems having microcanonical equi...