重标度的宽表进行了改进。
讨论了测井数据的分形分析中经常遇到而又容易产生误差的问题，特别是重标度极差分析和功率谱分析方法中的不一致性以及在分形分析中如何处理原始测井数据。
The measured data about the initial deviations of the joint positions of several experimental models and an actual structure are studied carefully by the assumption and test methods.
将这一结果与动力学重正化群理论和直接标度分析得到的结果进行了对比。
The results obtained are compared with that of dynamic renormalization-group theory and scaling analysis.
第二部分，为进一步探讨无标度网络的形成机制，我们研究加点、加边、重连和去边四种演化过程的随机网络模型。
In the second part, in order to explore further the mechanism responsible for scale-freenetworks, we introduce two extended models of the Barabási ?Albert model.
提出了一个能构建小世界网络和无标度网络的演化模型，这演化模型保持节点规模和边数量不变，引入边非线性择优重连方法。
An evolving model that can construct small-world networks and scale-free networks is employed to introduce nonlinear rewiring methods with keeping the number of nodes and edges invariable.
提出了一个能构建小世界网络和无标度网络的演化模型，这演化模型保持节点规模和边数量不变，引入边非线性择优重连方法。
An evolving model that can construct small-world networks and scale-free networks is employed to introduce nonlinear rewiring methods with keeping the number of nodes and edges invariable.
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