联合状态密度估计中 1/t Wang-Landau 算法的精度和性能分析

V. I. Egorov, B. V. Kryzhanovsky
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引用次数: 0

摘要

在计算二维伊辛模型的状态密度时,从执行时间和精度的角度分析了 1/t Wang-Landau 算法。我们发现模拟结果存在系统误差,且误差的大小随晶格尺寸的增大而减小。相对误差有两个最大值:第一个最大值位于基态能量附近,第二个最大值对应于临界点的内能值。我们证明,在模拟大型晶格时,不可能提前估计 1/t Wang-Landau 算法的执行时间。原因是当达到修正系数的最终值时,并不符合过渡到模式 1/t 的标准。同时计算能量和磁化的状态密度表明,在估算内能的统计矩时具有更高的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Accuracy and Performance Analysis of the 1/t Wang-Landau Algorithm in the Joint Density of States Estimation

The 1/t Wang-Landau algorithm is analyzed from the viewpoint of execution time and accuracy when it is used in computations of the density of states of a two-dimensional Ising model. We find that the simulation results have a systematic error, the magnitude of which decreases with increasing the lattice size. The relative error has two maxima: the first one is located near the energy of the ground state, and the second maximum corresponds to the value of the internal energy at the critical point. We demonstrate that it is impossible to estimate the execution time of the 1/t Wang-Landau algorithm in advance when simulating large lattices. The reason is that when the final value of the modification factor was reached, the criterion for transition to mode 1/t was not met. The simultaneous calculations of the density of states for energy and magnetization are shown to lead to higher accuracy in estimating statistical moments of internal energy.

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来源期刊
CiteScore
1.50
自引率
11.10%
发文量
25
期刊介绍: The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.
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