该方法也适用于分析一般线性方程组求解的稳定性。
The above methods also apply to analysis of calculating stability for general linear equation group.
一般情况下，边界元法所建立的线性方程组系数矩阵为一满置矩阵。
In general situation, the coefficient matrix of linear equations deduced by the Boundary Element Method (BEM) is a compact one.
一般地说，从这些准则出发得到的正则方程均为非线性方程。
Generally speaking, the regular equations obtained using these criteria are nonlinear equations.
除了方差分析法外，他们都需要解一个非线性方程组，一般都没有显式解，只能获得迭代解。
Except the Analysis of Variance Estimator, these approaches all need to solve a non-linear equation, which does not have explicit solution, and only has an iteration solution in general.
在一般双共轭梯度法的基础上，本文利用广义变分原理对内积进行了重新定义，使双共轭梯度法求解复线性方程组更为有效。
Based on biconjugate gradient method, we redefine inner products using general variation principle, which can make complex linear equations solving have high-performance.
此外，一般来说，非线性方程组的解不能使用自由基来表示。
Moreover, in general, the solution of a nonlinear set of equations can't be expressed using radicals.
用一般矩方法进行混合高斯随机敬的参数估计需要计算多个非线性方程，改进后的矩方法把非线性方程化成了线性方程。
It needs more nonlinear equations to use the general moment method for parameter estimation of Gaussian mixtures. The improved moment method changes the nonlinear equations into linear equations.
介绍了三对角型方程组的SPP算法，将之推广来求解一般的带宽较窄的带状或者稀疏带状线性方程组。
We introduce an algorithm for tridiagonal and block tridiagonal equations: SPP algorithm, which can be extended to solve general narrow-banded sparse linear equations.
电力系统的节点导纳方程组一般是维数很大的线性方程组。为了减少导纳矩阵的运算量，节省计算机内存，人们提出了很多优化编号方法。
Many optimal bus-labeling methods have been proposed in order to improve the efficiency of computation of nodal admittance matrix in power systems and to save the computer memories.
电力系统的节点导纳方程组一般是维数很大的线性方程组。为了减少导纳矩阵的运算量，节省计算机内存，人们提出了很多优化编号方法。
Many optimal bus-labeling methods have been proposed in order to improve the efficiency of computation of nodal admittance matrix in power systems and to save the computer memories.
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