在研究这类问题时，常用的理论方法有转移矩阵法、组合解法、重整化群方法及图形展开法等。
The usual ways to study the subject are the transfer-matrix method, combination solution, the renormalization-group technique, and graphic expansion, and so forth.
将结合重整化群和盒计数方法，探讨对复杂网络的这三个特征的产生机理和它们之间相互关系的内在机制。
The paper will probe into origins of three features of complex networks and underlying mechanism of their relation using renormalization and box-covering method.
用实空间中的重整化群理论，对二维正方形格点上的高分子模型自踪迹规避链进行了求解。
In this article, the critical exponents of the polymer model SAT in two dimensional square lattice have been studied with the real space renormalization theory.
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