提出了一种在智能仪器中用补偿函数实现非线性误差修正和标度变换的方法。
A method to realize non linearity correction and scale transformation with compensation function used in intelligent instrument is presented.
提出一种估计复杂网络幂律度分布和层次聚集函数标度指数的新方法，并给出求解这些指数的数值算法。
A new method and corresponding numerical procedure were introduced to estimate scaling exponents of power-law degree distribution and hierarchical clustering function for complex networks.
分析了GOY模型结构函数的标度律。
Scaling law of structure function in GOY model is analyzed in this paper.
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