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收敛性的

与 收敛性的 相关的网络例句 [注:此内容来源于网络,仅供参考]

In order to improve the search efficiency, a novel mutative scale hybrid mutation operator is designed. The convergenc, stability, and complexity of the algorithm are analyzed.

为了提高搜索效率,将变尺度引入到混合变异中,设计了一种新型的变尺度混合变异算子,并对算法的收敛性、稳定性和复杂度进行了分析。

To assure astringency, sometechnologies have been used such as iterative penality function methods,assemblage mass matrix, reduced integration algoritlun, NeWton iteration methodwith parameters for non-linear equation set, introducing relax factors and doublesteps solution and so on, and an algorithIn for solving the nonlinear equation set offlow field by FEM has been presented.

基于有限元法建立了流场求解列式,为保证其收敛性,采用了迭代罚函数法,集中质量矩阵,缩减积分计算,带参数的Newton迭代求解,引入松驰因子及双层解法等技术,提出了一套适合流场有限元方程计算的非线性方程求解方法。

The modified PISO algorithm is not only simpler but also more accurate and convergent more rapidly than the original PISO algorithm.

简化了PISO算法的实施过程,提高了PISO算法的精度和收敛性。

After studying lots of preconditioned iterative methods (see[7]-[12]),on the one hand, in chapter 3,the preconditioner is considered to be applied

文中确定了参数的取值范围,在此范围内,AOR迭代以及2PPJ迭代的收敛性均得到了改善。

The pseudospectral scheme for the BBM equation onthe half line is discussed.

并将它应用到半直线上的BBM方程上去,证明了该算法的稳定性和收敛性。

Key words:Spectral and pseudospectral approximation,incompressible fluid flow,un-bounded domain,nonlinear partial differential equations.

本文的主要方法与技巧对无界区域中的其它偏微分方程同样适用。关键词:方法谱与拟谱逼近,无界区域,不可压缩流,非线形偏微分方程。收敛性和稳定性

Employing the MOS_leve1_8 spice model, the proposed IGBT subcircuit model which is fully spice compatible gives more simulation accuracy and easy convergence.

使用SPICE MOS-LEVEL-8模型,确保模型计算的精确性和收敛性及与SPICE软件的兼容性。

The simulation results showed that the app roach p resented has better global con2 vergent ability and stability in multi2modal search space, and can avoid p rematurity effectively. So it is a global op2 timization algorithm with good feasibility and high efficiency

结果表明,该算法在多模态搜索空间中具有更好的全局收敛性、稳定性和寻找极值点能力,能够克服早熟现象,是一种有效的全局优化搜索方法

The convergence of this method is proved, and stability condition of the control system based on Lyapunov function is deduced.

首次证明了算法的收敛性,并基于Lyapunov方程推导了系统的稳定性条件。

The algorithm avoided the ineffective computation, and its globally convergent property has better effect on removing the ghosting phenomenon.

算法的全局收敛性保证了图像拼接中能够有效地去除重影的存在。

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这一模式非常关注商人的网络信用基础。

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