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seidel相关的网络例句

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与 seidel 相关的网络例句 [注:此内容来源于网络,仅供参考]

Due to the coupling of every Zernike circular polynomial in the annular field, the SEIDEL coefficients solved by wavefront fitting with circular polynomial for annular pupils with big central obscuration would have larger errors.

由于Zernike圆多项式各项在环域上的交叉耦合,对于具有大中心遮拦的环孔径波面采用圆多项式拟合求解SEIDEL像差系数存在较大误差。

By For the Jacobi iterative method of Gauss - Seidel iterative method and the comparison Initial research iterative equation and the nature of the coefficient matrix iteration convergence speed impact.

本文通过了举例对Jacobi迭代法和Gauss-Seidel迭代法进行了比较,研究迭代初值和方程组系数矩阵性质对迭代法收敛速度的影响。

Among them, former polynomial expansion detection algorithm based on the classic conclusion ,Gauss-Seidel iterative method which will introduce the same time. Inverse matrix will eventually form into a Taylor series approximation.

其中,前一种算法立足多项式扩展检测的经典结论,同时将Gauss-Seidel迭代方法引入其中,最终将矩阵求逆转化为泰勒级数近似的形式。

Direct method of Gaussian elimination, Gaussian main-element elimination, and the iterative method of Jacobi iteration, Gauss - Seidel (Gauss - Seidel) iterative method is linear equations numerical solution of important ways.

直接法中的高斯消去法、高斯列主元消去法,以及迭代法中的雅可比迭代法、高斯-赛德尔(Gauss-Seidel)迭代法又是线性方程组数值求解的重要方法。

And the equations are solved coupling iteratively whith PCG method for Laplace equation and Gauss—Seidel method for convective equation.So the distribution of piezometric tube waterhead and saturation can be obtained.And the seepace free surface will be captured automatically according to the distribution of saturation with the concept of VOF.

分别对饱和区的拉普拉斯方程采用预处理共轭梯度法、非饱和区的对流方程采用Gauss—Seidel方法进行耦合迭代求解,得到渗流场的测压管水头分布和饱和度分布,并引入VOF的概念,由饱和度的分布自动扑捉渗流自由面。

The main content includes that the accuracy of interpolation operators is creased since defect equations introduce less error: Gauss-Seidel solution can save effectively the computational time, in particular, the CPU-time for the setup phase; Jacobi-relaxation interpolation contributes to efficient and robust algebraic multigrid methods by a simple and purely algebraic mean.

最主要的内容是基于亏量方程引入的误差较小,从而进一步提高插值算子的精度;采用Gauss-Seidel解法有利于节省计算时间,特别是预备阶段的CPU时间;插值的松驰以一种简单的纯代数的方式获得高效且稳健的代数多重网格算法。

The main results of this research are as follows:(1) A parallel algorithm for solving dense matrix linear equations on distributed-memory multi-computer is presented. Convergent velocity of this algorithm is better than parallel Jacobi method"s, and parallelism is better than Gauss-Seidel method"s. According to theoretical analysis, convergent conditions are given. Moreover numerical experiments indicate that results agree with theory.

主要完成了如下研究工作:(1)提出了一种求解系数矩阵为稠密矩阵的线性方程组的适合于MIMD分布式存储的并行迭代算法,该算法设计上兼取了Jacobi算法并行性好的优点和Gauss-Seidel算法收敛速度快的长处,并且在理论上给出了该算法成立的收敛性条件,并通过数值计算验证了此算法结果与理论相符合。

Iteration method of Gauss-Seidel is used to solve the equation set.

方程组的求解采用Gauss-Seidel迭代法。

A new simulation and optimization method using guass-seidel algorithm for cocurrent multi-effect evaporation was presented.

提出一种基于Guass-Seidel迭代法的多效并流蒸发过程的模拟以及优化方法,并以一简单三效并流蒸发过程为例,详细阐述了Guass-Seidel迭代法模拟的具体步骤。

Finally the numerical results are presented to confirm the effectiveness of Gauss-Seidel parallelized with alternate tiling method,specifically compared with owner-computing and red-black Gauss-Seidel methods,and show that the new parallel iterative method has better parallel efficiency as well as scalability.

许多物理应用问题的求解都归结为求微分方程数值解,其核心是高效地求解线性方程组,GS(Gauss一Seidel)和SOR迭代算法以其高效性和实现简单的特性成为大型线性方程组求解的重要算法,并且常用作非定常迭代算法的高效预条件子,是许多应用软件的核心算法之一。在并行处理系统

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