它使用的思想和十进制乘法算法的思想相同。
This follows the same idea as the decimal multiplication algorithm.
微型计算机一种常用的乘法算法。
例如，该处理是基于模拟域中的微分和乘法算法的。
As an example, the processing may be based on a differentiate - and - multiply algorithm in the analog domain.
蒙哥马利算法是在RSA密码系统中广泛应用的模乘法算法。
Montgomery algorithm is the most popular method for modular multiplication in RSA systems.
本文从应用的角度，对微型计算机实时控制系统中常用的各种乘法算法进行了较为系统的分析和讨论。
From the application view point, this paper systematically analysed a variety of computing methods for multiplication used in real-time control system with microcomputers.
我们将对矩阵乘法的标准技术稍微进行一下修改，这样就可以使用前面介绍的算法了。
We'll make a slight change to the standard technique for multiplying matrices so that the previous algorithm can be applied here.
注意这个算法首先执行一个乘法，然后又执行一个除法(移位)。
Note that the algorithm performs a multiply first and a divide (shift) later.
要避免任何数与0 相除或溢出，将所有除法转换为乘法并检查运算符号（Y2=Y1的水平线不会计入算法）
To avoid any division by zero or overflow, transform all division into multiplication and check for the sign (horizontal lines with Y2=Y1 do not count in the algorithm)
Scilab提供了简单的矩阵运算（比如乘法），也提供了高级运算库（比如复数多维算法和相关）。
Scilab provides simple matrix operations like multiplication, plus a library of high-level operations like complex multi-dimensional arithmetic and correlation.
在上面TimeBase计算的实现中，算法使用了一个辅助乘法函数。
In the implementation of the Time Base calculation above, the algorithm USES a helper multiply function.
然后通过梯度下降法和最小二乘法相结合的混合学习算法，对控制器参数进行调整以提高其控制精度。
Then some parameters of the controller are modulated by hybrid learning algorithm of ladder descent (LD) and least square error (LSE) so as to attain better control precision.
改进算法利用总体最小二乘法得到噪声子空间。
The total least squares method was used in the improved algorithm to obtain the noise subspace.
针对控制模型的特点，利用最小二乘法和RBF神经网络构造了二次辨识的在线辨识算法。
An online identification algorithm was constructed using the least squares method and an RBF neuro network.
本文提出了一种同时进行乘法和除法而不增加迭代次数的复合算法(乘除算法)。
Presented in this paper is a mixed algorithm (MD algorithm), which carries out multiplication and division at the same time without increasing the number of recursive operation.
计算最短路径与矩阵乘法和弗洛伊德·沃肖尔算法对以下图。
Compute shortest paths with matrix multiplication and the Floyd-Warshall algorithm for the following graph.
本文提出的LZ算法，使管理预测中所涉及的多项目回归分析问题，无需采用最小二乘法就能得到解决。
The LZ algorithm presented in this paper makes possible the solution of the multiple regression analysis problems in management prediction without turning to the commonly used method of least squares.
本文根据FPGA的结构特点，介绍了一种改进型的FIR 结构及乘法运算的分解算法。
The structure of improved FIR and sharing arithmetic of multiplication are introduced based on characteristic of structure of FPGA.
针对水下声系统的应用背景，详细介绍了两种时延估计算法：基于特征值分解的MUSIC算法和基于最小二乘法的时延估计算法。
For the application of underwater acoustic systems, we present two algorithms in detail: MUSIC algorithm based on the eigenvalue decomposition and least square method.
我们提出了“指标分布图”的新概念，从而构造出一个估计任意维数矩阵乘法的新算法。
We propose a new conception: Index Distribution Chart, which makes it possible for us to construct a new fast multiplication algorithm for matrix pairs of arbitrary dimensions.
结合改进的免疫算法和最小二乘法，提出了一种设计径向基函数(RBF)网络的两级学习方法。
A two-level learning method combining improved immune algorithm and least square method was proposed to design a radial basis function (RBF) network.
在一般光栅象素的椭圆生成算法中，其主循环中均带有乘法和开方等运算，因而其计算量较大。
In the general ellipse - generating algorithm for raster - pixel, there are always multiplication and square root operating in the main iteration loop, so the calculating cost is more expensive.
通过将其与一般算法进行比较，体现了最小二乘法的优越性。
The least square method is compared with normal arithmetic to show its superiority.
本文阐述最小二乘法的优化算法、仪器的测量原理、系统组成和软件配置，并给出试验结果及误差分析。
The optimum algorithm of least-square method, the measuring principle, the system structure, the disposition of software, the test result and the analysis of error are also given.
采用一种基于免疫算法和最小二乘法的两级学习方法设计径向基函数（RBF）网络，并将其应用于雷达天线扫描方式识别系统。
A hybrid RBF training method based on immune algorithm and least square method is proposed and applied in radar antenna scanning-style recognition system.
介绍了RBF网络线性层权值的训练算法——递推最小二乘法，及中心向量的动态递推算法。
A recursive least squares algorithm for linking weight between linear layers of RBF network is introduced, and a dynamic recursive algorithm of center vector is proposed.
实例计算表明本算法具有和最小二乘法一样的计算精度和速度，本算法是正确的和可行的。
Some calculation circumstantiates that the algorithm with the same calculating precision and speed as least square algorithm is accurate and reasonable.
通过具体算例，将非线性最小二乘法和遗传算法的结果，分别进行了比较。
The result of non-linear least square method is compared with that of the genetic arithmetical method in the concrete examples.
算法所需的运算只有RAM的读操作与乘法、加法运算。
All the operations needed are addition, multiplication and RAM reading.
最佳一致逼近算法和最小二乘法相比，在理论计算上体现了它的有效性和优越性。
In the theoretical calculation, the best approximations algorithm shows its practicability and superiority comparing with the method of least squares.
线性网络部分的参数采用递推最小二乘法辨识，多层前向网络的权值和阈值采用BP算法学习。
The parameters of linear network are identified by recursive least square and weights and thresholds of MFNN are learned by BP algorithm.
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