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In this dissertation, two different ways will be addressed to accelerate the convergence rate of overlapping Schwarz methods.

在不增加重叠度的情况下,加法Schwarz方法的收敛速度取决于如何有效减少解在内边界处的反射。

The results of testing typical function demonstrate that the precision and the rate of convergence are improved by FQGA.

对典型函数测试表明:该方法有效地提高了量子遗传算法的计算精度和收敛速度。

Calculation results in two examples show that the method has the advantages of excellent convergence rate and high accuracy and efficiency, so it is very promising in engineering application.

文章给出了2个计算实例,计算结果证明,该方法是一种收敛快、精度高、简便有效的通用方法,在工程中具有广阔的应用前景。

Simulation results indicate that remanence and magnetometer bias can be estimated correctly by this method.

仿真结果表明:该方法能准确估计卫星剩余磁矩与磁强计偏置,磁强计偏置的标定精度在1nT左右,剩余磁矩的标定精度为0.0001A·m^2量级,有效消除了剩磁对无陀螺卫星姿态确定的影响,显著提高了姿态确定精度,滤波器能在500s内收敛。

So it can be avoided that the computation accuracy is lowered and the calculation result is hard to be convergent for the odd state of transformation matrix.The computation accuracy of wavelet Ritz method and wavelet Galerkin method has been improved so the special'microscopic'property could be fully expressed. An effective method is offered also to solve the problem of high stress gradient and some other odd state problems in engineering.

从而避免了由于转换矩阵奇异而造成精度下降且计算结果不易收敛的问题,提升了小波Ritz法和小波Galerkin法的求解精度,使小波分析的"显微"特性得以充分发挥,并为应力大梯度问题和工程奇异问题的有效求解提供了强有力的计算手段。

It shows that the method is very efficient for applications in YiChang Yangtse Rive Bridge.

宜昌长江公路大桥的应用表明,该解析迭代的系统计算方法,收敛速度快、精度高,是一种有效计算方法。

The scheme was simul...

结果表明了该方案收敛快,能有效控制该时变非线性对象。

The simulation results show that GA can improve the convergence speed effectively and avoid the trap of local optimums.

仿真结果表明,用遗传算法优化BP神经网络的权值收敛速度快,并有效解决了BP算法易陷入局部最优的问题。

In this paper, a new numerical method, the coupling method of spherical harmonic function spectral and streamline diffusion finite element method for unsteady Boltzmann equation in the neutron logging field is discussed, and the convegrence and error estimations of this scheme are proved.

针对中子测井问题,研究非定常Boltamann中子输运方程的确定型数值求解方法,给出了求解Boltzmann方程的球谐函数展开和流线扩散有限元耦合方法,证明了这种耦合方法的收敛性和误差估计·实际算例表明此方法是有效

At last, the application of above modeling and control strategies has been demonstrated by the simulations of a nonlinear dc motor control problem. Under this control strategy, system identification phase is not needed, and only a controller based on the recurrent neural network is provided. Because the control and learning laws are designed with stable theory, stability and convergence problems are solved here with rigorous analysis, which can not been analyzed easily when usual BP neural networks are used.

最后通过非线性电机模型的仿真研究,表明了基于上述动态动态递归神经网络模型对非线性系统进行自适应控制的实际可行性,并且采用这种方法不需要对系统进行离线辨识,整个系统只采用了一个基于动态递归神经网络的控制器,由于整个系统是基于稳定性理论设计的,有效地解决了应用BP网络等其它前向网络时系统的稳定性和收敛性难以分析的问题。

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