说明:双击或选中下面任意单词,将显示该词的音标、读音、翻译等;选中中文或多个词,将显示翻译。
您的位置:首页 -> 句库 -> 乘序
1.
The Singularity of Certain Self-similar Measure and the Structure and the Correlation Dimension for the Multiplicative Sequence;
一类自相似测度的奇异性与可乘序列的结构及关联维数
2.
The sum of product and product sum of Lucas number sequence;
关于Lucas序列的乘积和与积的和
3.
Asymptotic Distribution of the Product of Strong Mixing Sums
强混合序列部分和乘积的渐近正态性
4.
On Reverse Order Law for {1 ,3M ,4N}-inverse of Two Matrix Product
两矩阵乘积的{1,3M,4N}-逆的反序
5.
The ordinal number matching the number quadrillion in a series.
在一系列数中相当于百万的四次乘方的序数
6.
The trace of a product of two factors is independent of their order.
两因子的乘积的迹不依赖于因子的次序。
7.
Condition of Rank Preservation or Adding a Group Elements to the Interval Logarithm Least Square Method;
区间数对数最小二乘法增加元素的保序性条件
8.
Dimension and Measure of Admissible Kneading Sequences with Product Metric
允许揉搓序列在乘积度量下的维数和测度
9.
Using Model and Iterative Compilation to Optimize Matrix Multiplication Applications
结合模型和迭代编译优化矩阵相乘程序
10.
Research on property of GM(n,h) model under data multiple transformation
GM(n,h)模型建模序列数据数乘变换特性研究
11.
Solve Weighted Least Squares Fitting Polynomial Coefficient with Program
用程序解加权最小二乘拟合多项式的系数
12.
Realization and Application of Least Square Stepwise Estimation and Sequential Estimation
最小二乘逐步、序列推估的实现与应用分析
13.
DNA classification based on Least Square Wavelet Support Vector Machine
最小二乘小波支持向量机的DNA序列分类方法
14.
But, remember that the product of matrix multiplication is dependent on the order of the operands.
不过,记住矩阵乘法的结果是依赖于操作数的顺序的。
15.
Math quiz program for addition, subtraction, multiplication and revision of wrong answers.
这是一个数学猜谜程序,可用于加法,减法,乘法,并能修改错误答案。
16.
It uses binary counters for the conversion of the multiplicand from parrale to pulse-train form.
它采用二进制计数器以把被乘数由并行形式转换成脉冲序列形式。
17.
A Sequential Constrained Least-Squares Approach to Constrained Chebyshev Design of IIR Digital Filter;
IIR数字滤波器约束Chebyshev设计的序列约束最小二乘算法
18.
Complicated financial data time series forecasting analysis based on least square support vector machine;
基于最小二乘支持向量机的复杂金融时间序列预测