相容方程组

词组短语

consistent system of equations

与相容方程组相关的网络例句 [注：此内容来源于网络，仅供参考]

First discarding the thought of fitting by AR model, the ARMA model is fitted by a high order MA model using Gevers-Wouters algorithm on the basis of related functions of ARMA model. Then according to the parameters of the fitted MA model, the ARMA model parameter estimation through solving a system of antipathic linear equations using the least squares method is obtained.

首先摈弃传统的拟合到AR模型的思考方法，而是基于ARMA模型的相关函数用Gevers-Wouters算法对ARMA模型拟合到高阶滑动平均模型；然后在拟合的MA模型参数基础上，用最小二乘算法求解一个不相容的线性方程组，从而估计出ARMA模型参数。

Based on the projection theorem in the finite-dimensional inner product space, by making use of the generalized singular value decomposition and the canonical correlation decomposition of matrix pair simultaneously, we transform the least-squares problems of the abovementioned inconsistent matrix equations into the problems of solving the consistent matrix equations over given matrix set, and obtain the general expressions of the corresponding least-squares solutions.

S使得‖-X~*‖=‖-X~*‖，其中‖·‖为Frobenius范数，S分别表示矩阵方程 AXB=D，AXA~T+BYB~T=D，AXB+CYD=E和矩阵方程组=，=在一般矩阵集合或对称矩阵集合上不相容时的最小二乘解集合。

Then a quasi -Newton decent numeric algorithm for solving the consistent equations is presented and applied to solving the simultaneous simulation problem.

先运用多项式分解，将严格正则线性系统同时镇定问题化成一组相容非线性方程的求解，然后提出了一种求解相容非线性方程组的拟牛顿下山数值算法，并应用该方法求解同时镇定问题。

This paper systematically discussed the definition, nature and calculation of two kinds of generalized inverse matrix related to the compatible linear equations, and their relations with the compatible linear equations.

本论文系统地论述与相容线性方程组相关2种广义逆矩阵的定义、性质和计算，以及与相容线性方程组的关系。

The whole text completely provided the definition, nature and computation of two kinds of generalized inverse matrix related to the compatible linear equation and its application in the compatible linear equations.

全文全面地给出与相容线性方程有关的2种广义逆矩阵的定义、性质、计算及其在相容线性方程组中的应用。

The theory of incompatible equations and least square are used to build an equation about the pressure of gas and the site of coal, according to the original statistical data of gas pressure .

应用不相容方程组和最小二乘理论，根据已有的瓦斯压力原始统计资料，建立了煤层瓦斯压力和煤层地理位置关系的方程，并进行了相关性分析。

The second chapter discussed the definition and nature of dashes inverse A in generalized inverse as well as its application in compatible linear equations. The third chapter discussed the definition and calculation of the minimum norm inverse A in generalized inverse, as well as the Minimal Norm Solution of its compatible linear equations Ax = b.

前言从引进广义逆矩阵的定义着手，介绍了它的历史概况以及发展的背景及其意义；第1章从广义逆的发展历程讨论由Moore-Penrose方程确定的各种广义逆的定义；第2章讨论广义逆中的减号逆A 的定义及性质以及在相容线性方程组的应用；第3章讨论广义逆中的最小范数逆A 的定义及计算以及它与相容线性方程组Ax=b的极小范数解。

The preface gave the definition and introduced history, background of development and significance of generalized inverse matrix. The first chapter, from the development process of generalized inverse, discussed all kinds of definition of generalized inverse determined by the Moore - Penrose equations. The second chapter discussed the definition and nature of dashes inverse A in generalized inverse as well as its application in compatible linear equations. The third chapter discussed the definition and calculation of the minimum norm inverse A in generalized inverse, as well as the Minimal Norm Solution of its compatible linear equations Ax = b.

前言从引进广义逆矩阵的定义着手，介绍了它的历史概况以及发展的背景及其意义；第一章从广义逆的发展历程讨论由Moore-Penrose方程确定的各种广义逆的定义；第二章讨论广义逆中的减号逆A 的定义及性质以及在相容线性方程组的应用；第三章讨论广义逆中的最小范数逆A 的定义及计算以及它与相容线性方程组Ax=b的极小范数解。

Missirlis in article [1]. At the same time, a sufficient condition for convergence of the PSD method is given to be compared when the coefficient matrix A of the linear system Ax = b is a symmetric, positively defective matrix. In §3.2, an example is given to state that the range of our sufficient condition is wider than theorem 3.3 of article [1]. On the other hand, following a.n analogous approach of [14] and starting the functional relationshipwe have a perfect analysis for the PSD method to converge and optimum valves for the involved parameters under different conditions.Under the assumptions that A is a consistent ordered matrix with nonvanishing diagonal elements and the eigenvalues of the Jacobi matrix of A are real,we get necessary and sufficient conditions for the PSD method to convergence.The result is equal to theorem 1 of article [9].Under the same condition, we can see the optimal parameter and of corresponding spectral radius of thePSD method in [8]:(2)When A is a consistent ordered matrix with nonvanishing diagonal elements and the eigenvalues of the Jacobi matrix of A are imaginary or zero,we get necessary and sufficient conditions for the PSD method to convergence.In chapter 3, the optimal parameter and of corresponding spectral radius of the PSD method are given by table 3.3. Moreover, under the assumption 0

Missirlis在文献[1]中定理3.3的不准确，同时给出了当线性方程组Ax=b的系数矩阵A为对称正定阵时，PSD迭代法收敛的一个充分条件与之比较，并且在§2.3中用实例说明了对于一部分矩阵而言本文得到的充分条件广于[1]中定理3.3的充分条件；另一方面，按照文献[14]的方法，我们从PSD迭代法的特征值λ与其Jacobi迭代矩阵B的特征值μ的关系式：出发，在不同条件下对PSD迭代法的收敛性和最优参数以及最优谱半径进行了完整的分析：(1)在系数矩阵A为(1，1)相容次序矩阵且对角元全不为零，其Jacobi迭代矩阵B的特征值全为实数的条件下，给出了PSD迭代法收敛的充分必要条件，此结果与[9]中的定理1等价，此时最优参数及最优谱半径由[8]得：(2)第三章表3.3中给出了，当系数矩阵A为(1，1)相容次序矩阵且对角元全不为零，其Jacobi迭代矩阵B的特征值全为纯虚数或零时的PSD迭代法的收敛范围和最优参数，并且我们可以得到当0

There is a kind of important problem that is solving linear systems in the computing problems of engineering, but sometimes they are unsolvable.

在工程计算问题中，有一类重要的问题就是线性方程组的求解问题，但有些线性方程组是不相容的。

与相容方程组相关的网络解释 [注：此内容来源于网络，仅供参考]

compatible system of algebraic equations：相容代数方程组

compatibility condition 相容性条件 | compatible system of algebraic equations 相容代数方程组 | compatible topology 相容拓扑学

compatible topology：相容拓扑学

compatible system of algebraic equations 相容代数方程组 | compatible topology 相容拓扑学 | compensate 补偿

consistency of equations：方程组的相容性

consistency conditions 相容条件 | consistency of equations 方程组的相容性 | consistency problem 相容性问题

consistent axiom system：相容性公理系

consistencyproof 相容性的证明 | consistent axiom system 相容性公理系 | consistent equations 相容方程组

consistent equations：相容方程组

consistent axiom system 相容性公理系 | consistent equations 相容方程组 | consistent estimator 相容估计

consistent system of equations：相容方程组

consistent estimator 相容估计 | consistent system of equations 相容方程组 | consistent test 相容检验

consistent estimator：相容估计

consistent equations 相容方程组 | consistent estimator 相容估计 | consistent system of equations 相容方程组

consistent test：相容检验

consistent system of equations 相容方程组 | consistent test 相容检验 | constancy of sign 符号恒性

inconsistent linear system：不相容线性方程组

identity matrix 单位矩阵 | inconsistent linear system 不相容线性方程组 | indefinite matrix 不定矩阵

consistent linear system：相容线性方程组

commuting matrices 交换矩阵 | consistent linear system 相容线性方程组 | Cramer's rule 克莱姆法则