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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]

Including the Jacobi elliptic function, the hyperbolic function, the trigonometrical function and the rational function, the infinite sequence multi-skill new exact solution through several forms compound.

这里包括Jacobi椭圆函数、双曲函数、三角函数和有理函数,通过几种形式复合而成的无穷序列复合型新精确解。

To seek new infinite sequence exact solutions to nonlinear evolution equationsNEE(s, the formula of nonlinear superposition of the solutions of the second kind of elliptic equation are given, infinite sequence exact solutions to combined KdV with varible coefficients and forcible term is constructed with the aid of symbolic computation system Mathematica, which include Jacobi-like elliptic function solutions, infinite sequence soliton-like solutions and infinite sequence triangular function solutions.

为了获得变系数非线性发展方程的无穷序列精确解,给出第二种椭圆方程解的非线性叠加公式,借助符号计算系统Mathematica构造了带强迫项变系数组合KdV方程的无穷序列精确解。这里包括无穷序列类Jacobi椭圆函数解、无穷序列类孤子解和无穷序列三角函数解。

An optimal algorithm of the generalized Jacobi method is developed to solve the generalized eigen-problems in the finite element analysis of structural problems.

针对有限单元法结构分析中的对称方阵广义特征值问题,提出广义 Jacobi方法的一种优化算法。

Jacobi method and use a similar matrix of angular, high-equation solution to avoid problems.

并且利用Jacobi 法求解相似对角形矩阵,避免解高次方程的难题。

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。

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。

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。

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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