After solving the system of linear algebraic equations, another problem is induced that requires revising this coefficient matrix in order to get a new system of equations.
在线性代数方程组已解出之后，另一个课题需要修改它的系数矩阵，从而得到一个新的方程组。
Finally, the problems can be reduced to solving a low order system of algebraic equations like the initial parameter algorithm.
问题最后和初参数算法一样能归结为求解一个低阶代数方程组。
The method ICCG. is one of the best iterative method for solving the system of linear algebraic equations, but it can only be applied to the symmetric and positive definite coefficient matrix.
ICCG方法是解线性代数方程组较为理想的方法，但它仅适用于具有正定对称的系数阵。
Then by the principle of superposition and solving two sets of algebraic equations, the interaction between the point force and the point charge was uncoupled.
利用线性叠加原理，通过求解两组代数方程组，从而分离出点力与点电荷的耦合作用。
This dissertation successfully used cluster computing for solving large-scale linear algebraic equations problems when the finite element method (FEM) is applied in electrical prospecting.
本文成功地将机群计算应用到解决在电法勘探中使用有限元方法（FEM）时产生的大规模线性方程组问题。
The solution of the problem is finally reduced to solving a set of infinite algebraic equations.
问题最后可归结为求解一组无穷型的线性代数方程。
Then a similar intergrid transfer operator is given for the spaces of velocity, and the W-cycle multigrid method is presented for solving the algebraic equations.
接着对速度空间提出一种类似的网格转移算子，并给出W循环的多重网格法来解对应的代数方程组。
This paper is investigated a preconditioned conjugate gradient method in solving a linear algebraic system of large sparse symmetric and positive equations.
本文研究了解决大型稀疏对称正定线性方程组的一类预条件共轭梯度法。
In this paper, an algorithm for finding the inverse matrix of tridiagonal matrix by solving systems of linear algebraic equations is proposed.
根据三对角矩阵的特点，给出一种利用解线性方程组的方法求三对角矩阵的逆矩阵的算法。
The problem of solving large deflection plate by the variational method is changed into that of solving systems of cubic algebraic equations with multi-unknown quantities.
采用变分法求解薄板大挠度问题的高级近似解时将导致多元三次代数方程组。
The paper is intended to develop a parallel iterative method for solving positively definite linear algebraic equations, Its convergence has been proved.
本文将给出另一种并行算法。来求线性代数方程组的迭代解，并证明其收敛性。
In order to guarantee the convergence and stability in solving nonlinear algebraic equations, an incremental iterative algorithm was put forward according to the load characteristic.
为了保证非线性代数方程组求解的收敛性和稳定性，该文根据微梁的受力特点提出了一种增量迭代的算法。
In addition, two methods for solving the higher algebraic equations are recommended, i. e., Grafull square root method and Newton-Jing Jiuzhao method.
另外，推荐了两种解算高次代数方程的方法：葛莱茀平方根法和牛顿—秦九韶法。
"Tracking Differentiator Approaches for Solving Optimization Problems and Finding Roots of Algebraic Equations," Jingqing Han, Zengguang Hou, Control and Decision, Vol. 15 No. 3, May 2000.
“利用跟踪微分器构造未知函数的寻优器及求根器，”韩京清，侯增广，控制与决策，第15卷第3期，2000年5月。
"Tracking Differentiator Approaches for Solving Optimization Problems and Finding Roots of Algebraic Equations," Jingqing Han, Zengguang Hou, Control and Decision, Vol. 15 No. 3, May 2000.
“利用跟踪微分器构造未知函数的寻优器及求根器，”韩京清，侯增广，控制与决策，第15卷第3期，2000年5月。
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