随机格林函数算法的定向更新
Directed update for the Stochastic Green Function algorithm
摘要：
在最近的出版物（Phys. Rev E 77，056705（2008））中，我们已经提出了随机格林函数（SGF）算法，其具有通用且易于应用于形式H=V-T的任何晶格哈密顿量的性质，其中V在所选择的占据数基中是对角的，并且T仅具有正矩阵元素。我们在这里提出了一个修改版本的更新计划，保持了简单性和通用性的原始SGF算法，并显着提高其效率。
英文摘要：
In a recent publication (Phys. Rev E 77, 056705 (2008)),we have presented the stochastic Green function (SGF) algorithm, which has the properties of being general and easy to apply to any lattice Hamiltonian of the form H=V-T, where V is diagonal in the chosen occupation number basis and T has only positive matrix elements. We propose here a modified version of the update scheme that keeps the simplicity and generality of the original SGF algorithm, and enhances significantly its efficiency.
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