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1)  shape and smoothness
形状与光滑度
2)  smooth and non-smooth periodic wave solutions
光滑与非光滑波
3)  Smooth manifold
光滑流形
1.
On this basis,it is proved by applying finite stability of Box-counting dimension and tubular neighborhood theorem that the Box-counting dimension of fractal on a compact and smooth manifold is invariant under C 1 embeddings.
在此基础上,利用盒计数维数的有限稳定性和管状邻域定理证明了m维紧致光滑流形上的分形的盒计数维数是C1嵌入不变的。
4)  smooth scheme
光滑概形
5)  sliding surface shape
滑裂面形状
1.
The method given in the paper can be used to determine the sliding surface shape and .
本方法可以确定三维滑裂面形状和安全系数,同时可研究滑坡的宽度效应。
6)  smooth degree
光滑程度
1.
A new conclusion is put forward,in which the smooth degree of the data row can be enhanced by means of the arc-hyperbolic sine function transformation.
提出了"利用反双曲正弦函数变换提高数据列光滑程度"的新结论,获得了递增时间序列改善的自回归预测新方法。
2.
This paper proves that the smooth degree of a data row can be increased by transforming the counter-hyperbolic sine function.
证明了利用反双曲正弦函数变换能提高数据列的光滑程度,获得结论:设{x_(k)}为递增数据列,x_(1)>0,y(k)=ln(x_(k)+(x_(k)~2+1)~(1/2)),则数据列{y_(k)}比数据列{x_(k)}光滑。
3.
When constructing an autoregressive model to predict according to time series data,in order to improve the veracity,one of the methods is to let the model be a linear onet,ransform the data row and increase the smooth degree of them.
已知时间序列资料,建立自回归模型进行预测时,为了提高预测的准确性,采取的途径之一是固定自回归模型为线性模型,对数据列进行变换,提高数据列的光滑程度。
补充资料:形状


形状


  中药材的形体状态。
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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