收敛性的

In this paper,we study the convergence of Newton's method for nonlinear inclusionproblems with values in a cone.

本文讨论了取值在锥中的非线性包含问题的Newton方法，并给出了相应的收敛性分析。

The coupling between the pressure and the velocity of numerical model was solved successfully when the SIMPLE scheme and non-interlaced grid system were applied.

本文对各气动方程的离散、计算边界条件、气动控制参数、计算方法、数值解的稳定性和收敛性等诸问题进行了探讨，提出了相应的处理办法。

First,the the ory of continuous dependence of the optimal trajectory on the parameters and the theory of convergence about optimization algorithm model are introduced.

首先 介绍最优轨道对参数的连续依赖性和优化算法的算法模型的收敛性理论。

In order to improve the convergence of the back analysis of the rock-fill material parameters, four improved PSO methods have been proposed in this paper. Two are convergence improved PSO, and the others are the PSO based on multi-objective problem.

为提高标准微粒群算法在堆石坝坝料参数反演分析中的适应性，本文采用收敛性改进的微粒群算法和基于多目标问题的微粒群算法，详细阐述了算法的改进原理。

In order to determine the convergence of the line samplingbased reliability sensitivity method,the variance and the variation coefficient were derived for the reliability sensitivity estimation based on the line sampling.

为判别线抽样可靠性灵敏度分析的收敛性，推导了线抽样可靠性灵敏度估计量的方差和变异系数的计算公式，近似计算了线抽样可靠性灵敏度在给定置信度下的置信区间。

In order to determine the convergence of the line sampling -based reliability sensitivity method,the variance and the variation coefficient were derived for the reliability sensitivity estimation based on the line sampling .

为判别线抽样可靠性灵敏度分析的收敛性，推导了线抽样可靠性灵敏度估计量的方差和变异系数的计算公式，近似计算了线抽样可靠性灵敏度在给定置信度下的置信区间。

In order to compare the convergence of the importance sampling based reliability sensitivity analysis and Monte Carlo based reliability sensitivity analysis, the variance and variation coefficient of the reliability sensitivity assessment are derived in this contribution.

为了比较重要抽样与直接Monte Carlo方法在分析可靠性灵敏度时的收敛性，推导可靠性灵敏度估计量方差和变异系数的计算公式，近似计算重要抽样可靠性灵敏度估计量在给定置信度下的置信区间。

In this paper, an orthonormal scale transformation approach is proposed, which is a pulse response identification approach based on orthonormal basis expansion.

Eykhoff在文献［1］中提出了线性系统脉冲响应的辨识的正交函数展开方法——学习法，对于确定性过程，这种方法具有良好的收敛性。

Computer simulations show that the two algorithms have good convergence and high stable output signal-interference rate and tracking capability.

计算机仿真表明了两种算法具有优良的收敛性和较高的稳态输出信干比以及在时变信道中良好的跟踪特性。

In Chapter 4,The convergence of two forms of genetic algorithms base donthe feature of the non-formal selection strategies is proved including themodel of genetic algorithms under the population fitness constraints and somehigher fitness individuals in parent population participating in the comp-etition.

第四章以非形式化选择为特点，给出遗传算法的种群适应值约束下算法模型与父代种群前若干适应值高的个体参与竞争下遗传算法的收敛性。

This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.

扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。