查询词典 jacobi bracket

Computer simulation shows that, compared with the iterative and the Jacobi methods, the QR method is more accurate and stable.

在经由模拟测试后发现，相较於迭带法、Jacobi 法，QR演算法具备较佳的误差分布及较稳定的收敛性。

More than that, the use of conjugate gradient accelerated Jacobi method improves further the computational efficiency of the model.

同时，对离散后得到的五点差分方程，用共轭斜量加速Jacobi法进行求解，使计算效率进一步提高。

In the second one, Jacobi method, Gauss-Seidel method and Successive Over-Relaxation method were compared under the three kinds of memory formats.

在论文的第二部分，我们比较了在三种存储格式下的迭代法，迭代法和迭代法的优劣。

The domain decomposition method of Jacobi type for the quasivariational inequality system is proposed and the corresponding monotone convergence theory is established.

然后提出了上述拟变分不等式组的Jacobi型区域分解法，并建立相应的收敛性理论。

The paper presents an implicit integration algorithm based on Jacobi iteration method, which stably updates the state of n mass points in O time.

本文提出了一种基于Jacobi迭代的隐式积分求解算法来突破这一瓶颈。

Because of the rate of OLTC is changeable, the solving power equation method is different from the traditional N-L method. In this method the Jacobi Matrix have the factor of OLTCs rate, so using it to analyze voltage stability is better.

在这种算法中，其雅可比矩阵包含了OLTC变比的相关信息，因此用其进行系统电压稳定的静态分析更能反映系统的真实状况。

To study numerical solution of the linear equations,the article presents direct method ,Jacobi iterate method and Gauss-seidel iterate method to approximately calculate,and has given its process in MATLAB.

为研究线性方程组的数值解，文章用直接解法、雅可比迭代法、高斯-赛德尔迭代法进行了近似计算，并给出在MATLAB中计算的程序。

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。

In the end, an example was used to demonstrate. Results indicate that Gauss-Seidel method and SOR method are move valid than Jacobi method, and SOR method is the best one.

最后，作为演示我们将迭代法，迭代法和迭代法用一个例题进行了比较，数值实验表明，迭代法和迭代法比迭代法更有效，而超松弛迭代法更优。

Elaborate a basic theory of calculating group of linear equation by iteration method, reforming Jacobi iteration method, raising constringency rate.

阐述用迭代法解线方程组的基本理论，对雅可比迭代法作了一些改进，提高了其收敛速度。

Anna: No, I've got a hangover.

不是，我昨晚宿醉了。

We head into the mountains in Su's new Land Cruiser, stop for lunch at a scenic restaurant and then hang around drinking beer and eating fruit as two of his employees attempt to lure the birds with a tape recording of the fowl's mating call.

我们坐上苏的巡逻车向山顶出发，在一家风景优美的餐馆吃了中饭。然后我们喝着啤酒吃着水果四处逛。