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dimensional相关的网络例句

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This three dimensional space plus one dimensional time is only viewed from the angle of this form of ours.

可是现在到了超炫时代,就朝千维以外发展了。我估计科学的发展永远也不会赶上圣经的发展。

Your not one dimensional why should your living space be one dimensional?

你不是一维,为什么要你的生活空间被一维?

Thus, we may have to extend our view from one dimensional axis to multi-dimensional space, m -space, and to extend our research tools from scalars to multi-component vectors, m -vectors.

因而,我们可能要扩展我们的眼光,把我们的眼光从一维的"数轴"扩展到"多维空间",把我们的分析工具从"标量"扩展到"多元向量"。

At present, many known results are obtained only on one dimensional functional space, and the research on high dimensional space is little, only the continuous solutions are discussed on RN, neither the differentiate solutions on RN nor the solutions on abstract space and manifold.

在一维情形下,所涉及的函数通常具有较好的性质比如单调性,逆映射导数的LipschitZ性(在研究光滑解时通常需考虑)等,而第il页摘要高维空间上函数则不具有这些好性质,因此,讨论高维空间上的迭代方程要求在方法上作一些改进和突破。

Suppose an physical unit expressed as dimA , length unit m represents one dimensional space , time unit s represents one dimensional time , thus

设有一个物理单位 dim A ,长度单位m 表示一维空间,时间单位 s 表示一维时间,则有

Suppose an physical unit expressed as dimA , length unit m represents one dimensional space , time unit s represents one dimensional time , thus o:p

设有一个物理单位 dim A ,长度单位 m 表示一维空间,时间单位 s 表示一维时间,则有

With Hilbert space filling curve and latent semantic index, MLSQ maps similar data objects in high dimension semantic space into an adjacent range in one dimensional value space, and considers every data object sequence number in one dimensional space as a key. MLSQ distributes the keys to adjacent nodes of structured P2P systems. By embedding the process of searching data points of HSFC into the nodes of structured P2P networks and using the data search mechanism of networks, MLSQ can facilitate to search the data objects in accordance with query requirements.

该方法利用Hilbert空间填充曲线和潜在语义索引,将高维语义空间中相似的数据对象映射到一维数值空间中的邻近区域中,并以每个数据对象在一维数值空间中的序号作为键,将数据对象的索引分布到有组织P2P网络邻近的结点上,通过将HSFC中数据点的查找过程嵌入到有组织P2P网络的结点上,再利用网络的数据查找机制,MLSQ可方便地搜索到符合查询要求的数据对象。

For case study, db4 optimum wavelet base is used to transform GR, SP and AC from a well in Shengtuo oilfield. By this transformation the logging data are expended from one dimensional depth space into two dimensional depth-scale space.

以胜坨油田某井为例,采用db4最佳小波基分别对自然伽马、自然电位和声波等测井曲线进行了多尺度分析,将一维测井数据拓展为二维深度-尺度空间,提取小波变换系数的时频色谱信息和能量信息,从而确定出测井曲线识别准层序界面的最佳尺度。

Exercise 1 , To figure out following physical quantities based on STV of one dimensional space and one dimensional time : mass gauge , time gauge , length gauge , mass density gauge , temperature gauge , electric current gauge , energy gauge , angular momentum gauge , charge gauge and magnetic flux gauge.

习题1 ,试根据一维空间和一维时间的时空数值求解出下述物理量:质量度规,时间度规,长度度规,质量密度度规,温度度规,电流度规,能量度规,角动量度规,电荷度规和磁通量度规。

Sequence in the third middle member of Shahejie Formation in a well of Shengli oilfield, the SP data were processed by two-scale wavelet transform using quadric spline wavelet. With this transformation the logging data were expended from one dimensional depth space into two dimensional depth-scale space and wavelet coefficient curves on different scales were obtained.

以胜利油田某井沙三上亚段第Ⅲ层序为例,选用二次样条小波,对该井段SP测井数据进行二进小波变换,将一维测井数据拓展为二维深度-尺度空间,得到不同尺度上的小波系数曲线。

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