asymptotic convergence
英
美
网络 渐近收敛
双语例句
- First, for the stationary diffusion problems, the point-wise asymptotic expansions and super convergence of the iso-parametric bilinear finite volume element solution are proved on the uniform grids with small disturbance.
首先，针对定常扩散问题，在带小扰动的均匀网格下，严格证明了等参双线性有限体元解在逐点意义下的渐近展式和超收敛。 - By apriori choice of the regularization parameter respectively, the optimum asymptotic convergence order of the regularized solution is obtained.
给出了正则参数的先验选取，并通过正则参数的先验选取证明了正则解的误差具有渐进最优阶。 - Asymptotic Expansion and Super Convergence of a Kind of Quasilinear Parabolic and Hyperbolic Equations Using Generalized Finite Element Method; An A.D.I FEM and Error Estimation for a Nonlinear Hyperbolic Equations
一类拟线性抛物与双曲方程广义有限元方法的渐近展式和超收敛1类非线性双曲型方程的交替方向有限元方法及误差估计 - The Singularities of Legendre Series on the Ellipse ot Convergence and Its Asymptotic Behaviour near the Ellipse of Convergence
勒襄特级数在收敛椭圆上的奇点和收敛椭圆附近的渐近性质 - On the premise of few additional calculations, it is significant that how carries on the combination iteration using the geometry character to improve the asymptotic rate of convergence, which has been studied in this paper.
如何利用空间几何性质进行组合迭代，在几乎不增加计算量的前提下，改善收敛速率是很有意义的，本文在这方面进行了研究。 - A Multiscale Asymptotic Expansion and its Convergence Analysis for the Wave Propagation Problem in Small Periodic Composite Materials
小周期复合材料波传播问题的一个多尺度渐近展开式及其收敛性分析 - By using modulus of functional continuity. A estimates of the asymptotic rate of convergence for "intermediate point" of the first integral mean value theorem and the second integral mean value theorem are given.
利用函数连续模分别给出了第一积分中值定理和第二积分中值定理的中间点收敛速度的一个估计。 - It is proved that in a Hilbert space the weak asymptotic regularity implies the weak convergence of the semigroup;
在Hilbert空间中证明了弱渐近正则性隐含半群轨道的弱收敛性； - The iterative learning control, the variable structure sliding mode control and neural network control are combined in complementary manner. The asymptotic convergence of the tracking error to zero is established.
将迭代学习控制，变结构滑模控制，神经网络自适应控制以互补的方式相结合，使得跟踪误差渐近收敛于零。 - Using binary coding GAs to solve UC the amount of calculation and employed ram will be greatly increased and the classical GAs does not possess the ability of asymptotic convergence.
在机组数目增加时，二进制编码的遗传算法的计算量及存储量会增加很多，并且经典的遗传算法不具有渐近收敛性。