用代数动力学方法求得了用泰勒级数表示的局域收敛的常微分方程的精确解。
By algebraic dynamical method, the exact analytical solutions of the ordinary differential equations are obtained in terms of Taylor series with local convergent radius.
针对非结构化网格上迭代收敛速度会逐渐减慢的特点，引入了多重网格求解技术，采用了其中效率较高的代数多重网格方法对离散方程进行求解。
To overcome the reduced convergence speed of iteration method, multigrid method is introduced and algebraic multigrid is adopted to solve discretized equations because of its higher effectiveness.
对两个存在大的电性差异的模型进行了模拟计算，以验证代数多重网格法的收敛效率。
Two models with high conductivity contrast are used to demonstrate convergence and efficiency of the AMG method.
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 order to guarantee the convergence and stability in solving nonlinear algebraic equations, an incremental iterative algorithm was put forward according to the load characteristic.
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。
The paper is intended to develop a parallel iterative method for solving positively definite linear algebraic equations, Its convergence has been proved.
采用收敛速度快的块迭代法解代数方程组。
The block iteration method is used in solving these linear equations.
采用收敛速度快的块迭代法解代数方程组。
The block iteration method is used in solving these linear equations.
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