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Jacobi相关的网络例句

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与 Jacobi 相关的网络例句 [注:此内容来源于网络,仅供参考]

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。

We introduce the iterative method of Jacobi type to solve the discrete problem of the quasivariational inequality system. A new proof for the monotone convergence of the iterative method is given under appropriate conditions.

我们首先介绍求解Hamilton-Jacobi-Bellman方程的近似拟变分不等式组离散问题的一类Jacobi型迭代算法,在一定假设条件下,对这类算法的单调收敛性给出了一个新的证明。

A new insight into the overlapping Schwarz methods will be obtained by checking how the overlapping domains be dealt with, which would help us to unify all kinds of overlapping Schwarz methods and Bblock Jacobi method.

如果所求解的问题达到一定规模,那么最优Robin参数可以使得加法Schwarz方法的收敛速度有数量阶的提高。

This paper proposed an implicit technique based on the Jacobi's iteration method. The theoretical demonstration and analysis show that the proposed method meet both the real-time and the stability requirement well. The new method which can update stably the state of n mass points with the time complexity of O has great advantages over the existing implicit integration methods.

本文提出了一种基於雅可比迭代法的隐式数值积分算法,通过理论证明和分析,该算法稳定地更新n个质点的状态所需时间复杂度为O,较已有的隐式积分算法有了很大的改进。

Secondly,we develop multiple-dimensional Jacobi polynomial approximations in non-isotropic Hilbert spaces.

本文在建立Jacobi谱方法和拟谱方法数值分析理论的基础上,数值求解这三类问题。

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