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In the present paper we show how non--classical, quite accurate, critical exponents can be extracted in a very simple way from the Pad\'e analysis of the results obtained by mean field like approximation schemes, and in particular by the…

凝聚态物理 · 物理学 2009-10-22 A. Pelizzola

I show that the cluster variation method, long used as a powerful hierarchy of approximations for discrete (Ising-like) two-dimensional lattice models, yields exact results on the disorder varieties which appear when competitive…

统计力学 · 物理学 2009-10-31 Alessandro Pelizzola

The critical and multicritical behavior of the simple cubic Ising model with nearest-neighbor, next-nearest-neighbor and plaquette interactions is studied using the cube and star-cube approximations of the cluster variation method and the…

统计力学 · 物理学 2008-12-18 E. N. M. Cirillo , G. Gonnella , A. Pelizzola

The cluster variation method (CVM) is an approximation technique which generalizes the mean field approximation and has been widely applied in the last decades, mainly for finding accurate phase diagrams of Ising-like lattice models. Here…

高能物理 - 格点 · 物理学 2015-06-25 Alessandro Pelizzola

The cluster variation method (CVM) is a hierarchy of approximate variational techniques for discrete (Ising--like) models in equilibrium statistical mechanics, improving on the mean--field approximation and the Bethe--Peierls approximation,…

统计力学 · 物理学 2007-07-16 Alessandro Pelizzola

A new approximation of the cluster variational method is introduced for the three-dimensional Ising model on the simple cubic lattice. The maximal cluster is, as far as we know, the largest ever used in this method. A message-passing…

统计力学 · 物理学 2014-01-22 Alessandro Pelizzola

We present a procedure to solve the inverse Ising problem, that is to find the interactions between a set of binary variables from the measure of their equilibrium correlations. The method consists in constructing and selecting specific…

无序系统与神经网络 · 物理学 2015-05-30 Simona Cocco , Rémi Monasson

The crossover behavior of the semi--infinite three dimensional Ising model is investigated by means of Pad\'e approximant analysis of cluster variation method results. We give estimates for ordinary critical as well as for multicritical…

凝聚态物理 · 物理学 2016-08-31 Alessandro Pelizzola

Parameter estimation for model-based clustering using a finite mixture of normal inverse Gaussian (NIG) distributions is achieved through variational Bayes approximations. Univariate NIG mixtures and multivariate NIG mixtures are…

统计方法学 · 统计学 2017-10-09 Sanjeena Subedi , Paul D. McNicholas

In finite-size scaling analyses of Monte Carlo simulations of second-order phase transitions one often needs an extended temperature range around the critical point. By combining the parallel tempering algorithm with cluster updates and an…

统计力学 · 物理学 2015-05-28 Elmar Bittner , Wolfhard Janke

We introduce a new variational approach to the stationary state of kinetic Ising-like models. The approach is based on the cluster expansion of the entropy term appearing in a functional which is minimized by the system history. We rederive…

统计力学 · 物理学 2013-07-26 Alessandro Pelizzola

The method for calculation of the correlation functions of the Ising-type systems with short-range interaction and with arbitrary value of spin is developed within cluster approximation. For the Ising model (spin $S^z=\pm1$) the expressions…

凝聚态物理 · 物理学 2007-05-23 R. R. Levitskii , S. I. Sorokov

We demonstrate the applicability of the $\epsilon$-convergence algorithm in extracting the critical temperatures and critical exponents of three-dimensional Ising models. We analyze the low temperature magnetization as well as high…

统计力学 · 物理学 2024-10-22 M V Vismaya , M V Sangaranarayanan

In this paper we lay special stress on analyzing the topological properties of the lattice systems and try to ovoid the conventional ways to calculate the critical points. Only those clusters with finite sizes can execute the self similar…

综合物理 · 物理学 2009-12-16 You-Gang Feng

We propose an algorithm to obtain numerically approximate solutions of the direct Ising problem, that is, to compute the free energy and the equilibrium observables of spin systems with arbitrary two-spin interactions. To this purpose we…

统计力学 · 物理学 2019-11-20 Simona Cocco , Giancarlo Croce , Francesco Zamponi

Mixture model-based clustering has become an increasingly popular data analysis technique since its introduction over fifty years ago, and is now commonly utilized within a family setting. Families of mixture models arise when the component…

统计方法学 · 统计学 2019-11-11 Sanjeena Subedi , Paul D. McNicholas

In finite-size scaling analyses of Monte Carlo simulations of second-order phase transitions one often needs an extended temperature/energy range around the critical point. By combining the replica-exchange algorithm with cluster updates…

统计力学 · 物理学 2011-08-20 Wolfhard Janke , Elmar Bittner

The equilibrium ensemble approach to disordered systems is used to investigate the critical behaviour of the two dimensional Ising model in presence of quenched random site dilution. The numerical transfer matrix technique in semi- infinite…

统计力学 · 物理学 2009-10-31 Giorgio Mazzeo , Reimer Kuehn

For theoretical description of pseudospin systems with essential short-range and long-range interactions we use the method based on calculations of the free energy functional with taking into account the short-range interactions within the…

统计力学 · 物理学 2019-05-21 R. R. Levitskii , S. I. Sorokov , O. R. Baran

The conventional clustering algorithms mine static databases and generate a set of patterns in the form of clusters. Many real life databases keep growing incrementally. For such dynamic databases, the patterns extracted from the original…

数据库 · 计算机科学 2013-10-28 A. M. Sowjanya , M. Shashi
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