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The PetrovGalerkin formulation is applied to solve the genera lized Stokes problem in each subdomain, and the Lagrange multiplier problem on the interfaces is solved using an algorithm of conjugated gradient. Velocity, density and Lagrange multiplier are approached in the spaces of continue piecewise linear functions.

应用PetrovGalerkin方法解每个子域上的广义Stokes问题,而交界面上的Lagrange乘子则通过共轭梯度法迭代求解,各变量均由线性函数离散。

Then we use Cramer\'s rule to obtain an estimate of the degree in q~(1/2) of the leading coefficient of the recurrence.

而后利用Cramer法则得到迭代关系首项系数中q~(1/2)的次数的一个估计。

The Least Z-Difference algorithm using Least Trimmed Squares estimator is proposed in this paper.

提出一个使用截尾最小二乘估计的最小高差算法,该算法在迭代过程中通过基于高差直方图的自适应阈值来区分变形区观测量。

The author puts emphasis on the control method of self-adaptation arc length, the criterion of iterative convergence, and discriminant mark of failure, then, works out appropriate computer software.

重点讨论了自适应的弧长控制法,迭代收敛标准、破坏判别标志等技术问题,编制了相应的计算软件。

An incremental-iterative method based on the Newton-Raphson method combined with constant arc length of incremental displacement vector is employed for the solution of nonlinear equilibrium equations.

本文解非线性平衡方程式式的数值计算方法是基於牛顿-拉福森(Newton-Raphson)法配合弧长控制法的增量迭代法。

Based on the iteration theories of linear equations, the convergence property of CA-CMAC in incremental learning was analyzed.

然后提出了信任度矩阵和信任度关联矩阵的概念,并根据线性方程组迭代理论,证明了改进算法在增量学习时的收敛性,给出了收敛条件并进行了验证。

Credit matrix and credit correlation matrix were presented. Based on the iteration theories of linear equations, the convergence property of CA-CMAC in incremental learning was analyzed.

然后提出了信任度矩阵和信任度关联矩阵的概念,并根据线性方程组迭代理论,证明了改进算法在增量学习时的收敛性,给出了收敛条件并进行了验证。

The classic iterative ones need special characters of the coefficient matrix; CG has over linear convergence, but the coefficient matrix is positive definite; Krylov subspace ones can deal with non-symmetric linear systems, but sometimes it must face"collapse"problems.

经典迭代法的收敛需要由系数矩阵的一些特定性质来保证;共轭梯度法具有超线性收敛性,但是系数矩阵必须是正定矩阵;Krvlov子空间法可用于非对称矩阵问题,但可能出现崩溃现象。

Moreover, existence, uniqueness and continuous dependence of decreasing solutions and non-monotonic solutions for a linear iterative functional equation are discussed.

第三章研究了线性型迭代方程的拟凸解、拟凹解、凸解及凹解的存在性。

In view of convergence of iterative arithmetic, the arithmetic of selfadjusting the linear search directions during iteration was put forward based on practice, which guaranteed fast convergence and robustness of the system.

5对于Newton-Rapson迭代过程,根据实践,提出自动控制和调节收敛因子的算法,使系统具有较高的收敛性和计算稳定性。

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This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

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