Potts modelSimulated and parallel tempering are families of Markov Chain Monte Carlo algorithms where a temperature parameter is varied during the simulation to overcome bottlenecks to convergence due to multimodality. In this work we introduce and analyze the convergence for a set of new tempering ...
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This paper introduces a novel extension of the edge-based compartmental model to epidemics where the transmission and recovery processes are driven by gene
crystal field model for the uranium 5felectrons, the allowed quadrupolar operators, and the constraints deduced from the analysis of heat capacity measurements... H Walker,K Mcewen,M Le,... - 《Journal of Physics Condensed Matter》 被引量: 42发表: 2008年 A Mean Field Model for the Quadrupol...
A dimer mean-field model for the Ising spin-glass is presented. Despite its simplicity it captures some of the essential features of the spin-glass physics. The distribution of the single-spin magnetization is determined from a self-consistent integral equation. By solving the self-consistency ...
Perturbative estimates of thermodynamical quantities relevant for ultra-relativistic collisions of heavy nuclei are found unreliable and some recent effective models for hot and dense QCD matter are found to have very little in common with QCD. A mean-field model, resembling QCD and yielding qualitativ...
For a single-chain model, the latter is calculated as nc ∆F , where nc is the number density of chains and ∆F is the ensemble average of the change in the chain free energy.) If we do not include virtual springs, we have no ESFs and an incorrect relation between the plateau ...
The analysis of the mass-radius relations leads to the conclusion that the additional stable configurations of hyperon-rich neutron stars are characterized by the reduced value of radii.doi:10.1209/0295-5075/78/32001Bednarek, IlonaManka, RyszardIOP PublishingEPL (Europhysics Letters)...
Maximal Steiner Trees in the Stochastic Mean-Field Model of Distance Consider the complete graph on $n$ vertices, with edge weights drawnindependently from the exponential distribution with unit mean. Janson showedthat the t... A Davidson,A Ganesh - 《Mathematics》 被引量: 2发表: 2015年 Atomis...
根据我们上一篇的介绍,mean field (feature learning) regime 用的是1/m,其中m是网络的宽度,而neural tangent kernel (lazy training) regime用的是1/m1/2。两个框架各有优缺点: (1)Mean field 框架 很难刻画网络的泛化结果 (2)NTK 框架 很难分析weight decay以及有很大噪声的情况 ...