在适当的条件下，证明了三步迭代算法是强收敛的。
The three-steps iterative algorithms converge strongly under suitable conditions.
比如，如果f是连续和强单峰的，他声称可以保证收敛到最小值。
For example, if is continuous and strongly unimodal, he argues that convergence to a minimizer is guaranteed.
证明了样本自相关函数的强收敛性，并得到了强收敛速度。
The strong convergence of sample autocorrelation is proved, and the convergence rate is obtained.
最后通过数例检验算法的优越性，仿真结果表明该算法求解效率高、收敛速度快、全局搜索能力强。
The superiority of the algorithm is tested through cases and the simulated result shows high efficiency, rapid speed of convergence and strong capability of global search in looking for answers.
结果具有很强的抗噪声能力，且收敛速度快，全局搜索能力强。
Results This model has the strong capability of noise immunity, quick convergence rate and powerful ability of global search.
研究任意随机变量序列的强收敛性。
The strong convergence of the arbitrary stochastic sequences is studied.
与传统的逐次逼近解法(SAM)相比，该方法收敛性强，应用范围广，可适用于高电导率对比地层。
The method converges faster than conventional successive approximation method (SAM) and can be applied to high conductivity contrast formation.
证明了一些弱收敛和强收敛定理，并给出了相对收敛率的估计。
Some weak and strong convergence theorems are proved and the estimation of relative convergence rate is obtained.
在这篇文章中，我们提出了最近邻估计在任意紧集上一致强收敛速度的概念，得到了一些较好的收敛速度。
In this paper, we propose the concept of rates of strong uniform convergence of nearest neighbor density estimates on any compact set and obtain some better convergence rates.
通过实验研究，表明该方法收敛速度快，学习能力强，并提高了系统的鲁棒性，证实了其在电机速度控制中的有效性。
It is shown in the experiment that this object function converges rapidly, and could improve both the learning speed and robustness of such speed servo control system.
通过实例检验算法的优越性，仿真结果表明该算法求解效率高，收敛速度快，全局搜索能力强。
The superiority of the algorithm is tested through cases and the simulated result shows that it has high efficiency, rapid speed of convergence and strong capability of global search.
尤其是改进的神经网络分段预测模型具有网络结构简化、收敛速度快，泛化能力强的特点，取得很好的拟合精度和预测效果。
The improving neural network subsection prediction model can take advantage of simple network structure, fast convergence rate and strong generalization capability, and get a good modeling effect.
实验结果表明，该算法收敛速率快，寻优能力强，为指挥员提供了实时有效若干可行的分配方案。
The simulated experiments prove that the algorithm comes to excellent optimal solution with high convergence rate.
在一定的条件下，用黏性逼近法证明了序列逼近于这一公共元的强收敛定理。
It is shown that under suitable conditions by the viscosity approximation algorithms, some strong convergence theorems for approximating to this common elements are proved.
在已有的基础上探讨了它的半局部收敛性，利用强函数原理，在一定的条件下给出并证明不精确牛顿法的半局部收敛性。
There have many papers for its local convergence, This paper probes into the semi-local convergence using a majorant function principle on some weak condition.
在一个很广泛的信赖域半径选择规则下，证明了算法的强收敛性。
The strong convergence of the algorithm under a general choice for radius of trust region is proved.
在适当的条件下，证明了该完全广义强非线性拟变分包含解的存在性及唯一性，并且得到了迭代算法的收敛性和几乎稳定性。
Under suitable conditions, the existence and uniqueness of solutions of the that inclusion and the convergence and almost stability of the sequence generated by the iterative al.
本文在截尾样本下构造了失效率的一种截尾非参数估计，并给出了其均方收敛及强相合性的局部一致收敛速度。
In this paper, a nonparametric estimator terminated of failure rate is constructed based on censored data, and its rates of convergence in mean square and strong consistency are given respectively.
第三章研究一类非齐次马氏链的收敛速度及绝对平均强遍历性。
In the third chapter, we study the rate of convergence of nonhomogeneous Markov chains and the absolute average strong ergodic.
特别地，对于常数振幅情形，得到了多项式系数估计的强收敛速度。
Specifically, the convergence rate of coefficient estimate is obtained in constant amplitude case.
文章所提出的发电机组改进遗传算法具有快速搜索、易收敛和鲁棒性强的特点。
This method has some advantages: fast searching speed, easy to converge and strong robustness.
本文讨论了一类新的半参数回归模型，在一组比较基本的条件下，得到了估计量的较好的一致强收敛速度。
In this paper, we have considered a new class of semiparametric regression model Under some mild conditions we have obtained better uniformly strong convergence rates for the proposed estimators.
基于多重线涡模型（MLVM），本文建立了一种计算机时少、收敛性强的适用于大迎角涡流势流数值模拟的迭代算法。
A robust iterative method suitable for the numerical simulation of vortex flows at high angles-of-attack is established based upon the multiple line-vortex model (MLVM).
本文研究了系数为强单调算子的椭圆型偏微分方程，得到了解的梯度的几乎处处收敛性。
In this paper, we study the elliptic partial differential Cquation whose coefficients are strongly monotony operators, and obtain the everywhere convergence of the gradients of solutions.
NLMS算法是回声消除器中最常用的算法之一，然而语音信号的强相关性使NLMS(归一化最小均方)算法的收敛速度变慢。
NLMS (normalized least mean square) algorithm is widely used in echo canceller. However, due to high correlation of speech signals, the performance of echo canceller based on NLMS is depressed.
非线性预处理是解决多通路回波消除中因输入信号间的强相关性而引起的滤波器不收敛的有效方法。
In the multi-channel echo cancellation, the nonlinear pre-processing is always used to overcome the non-convergence of the filter caused by the strong correlation of input signals.
另一方面，在附加了弱于“C是紧集”的条件下，得到了强收敛结果。
On the other hand, we obtain the strong convergence theorem under a condition weaker than "c is compactness".
流体力学控制方程的数值求解过程中，当网格加密、粘性效应强或来流马赫数低的时候，流场收敛非常缓慢。
When the number of grid is very great or viscous effects dominates or sometimes the speed of flow is low, the rate of convergence slows down dramatically, resulting in inefficient solution technique.
流体力学控制方程的数值求解过程中，当网格加密、粘性效应强或来流马赫数低的时候，流场收敛非常缓慢。
When the number of grid is very great or viscous effects dominates or sometimes the speed of flow is low, the rate of convergence slows down dramatically, resulting in inefficient solution technique.
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