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convergence behavior相关的网络例句

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与 convergence behavior 相关的网络例句 [注:此内容来源于网络,仅供参考]

Thisthesis presents a theoretical model that can be used to describe the convergence behavior ofthe algorithm.

论文阐述了该算法的算法模型并且从理论上分析了该算法的收敛性质并初步应用于解决电力系统中的问题。

This paper studies the superlinear convergence behavior of GMRES and GMRES, and supplies explain through experiment.

本文描绘了GMRES和GMRES的加速收敛现象,并通过实验给予解释。

And a proof to show the convergence behavior of the algorithms is presented.

这两个应用采用最大信号干扰噪声比准则来求解最优的权向量。

Through some analysis, we found that for GMRES too, changes in convergence behavior seem to be related to the convergence of Ritz value.

通过分析,我们发现GMRES的加速收敛与其斜投影过程中产生的Ritz值对特征值的逼近程度有关系。

Convergence behavior is analyzed and the performance is theoretically evaluated.

对於所提之适应性演算法,其收敛行为与理论效能,我们也做了完整的理论分析与验证。

The LMS algorithm is employed and its convergence behavior is also examined.

我们亦选用最小平方法以适应性地实现此方案并分析其收歛特性。

Thus, the model and method developed exhibit very good convergence behavior in computation and provide accurate predictions of the mechanical behaviours and displacement distributions in the nanotubes.

与一般的数值方法相比较,本文的方法不需要传统的那种冗长的、反复的迭代,并具有非常好的收敛性,因此为碳纳米管结构力学行为的有效预测提供了保障。

For gas flow past cylinder, the characters of flow field in different Mach number and Knudsen number condition were investigated, and especially for low Knudsen number cases, the results were compared with calculating results of Euler's equation. It showed that they are correspondent by comparing the characters of bow shock and wake. The convergence rates of different high resolution and implicit schemes were also investigated. The convergence behavior of the implicit WENO scheme developed in this paper is better than others. For gas flow past NACA 0012 airfoil, the calculating results were compared with results of experiment. It showed that the results of WENO scheme are of higher accuracy for the case with angle of attack.

在圆柱流场时,我们探讨不同马赫数且不同纽森数时的流场特性,并在低纽森数时,与那维尔-史托克方程式的计算结果比较,我们比较了弓形震波及尾流附近的特性,其结果是相当符合的,同时我们也比较不同高解析隐式算则的收敛历程,从收敛历程图可得到,本文发展出来的隐式WENO算则有较佳的收敛效果;在NACA 0012翼形的流场中,我们将与实验结果做比较,发现利用WENO算则计算的结果,对於具有攻角的流场,亦有相当高的准确度。

It usually has a so-called superlinear convergence behavior. The rate of convergence seems to improve as the iteration proceeds. For another say, the rate of residual variable will be improved as we increase its iteration.

GMRES算法在迭代过程中通常表现出一种加速收敛行为,随着迭代次数的增加,这种加速收敛现象越明显,即残量收敛会随着迭代步数的增加而逐渐得到改善。

We propose the convergence analyses for nonlinear AEC based on memoryless polynomial nonlinear filter and NLMS algorithm. Several adaptation strategies for nonlinear AEC are also provided and compared for finding better convergence behavior.

根据无记忆多项式适滤波器与NLMS演算法,我们提出了非线性声讯回音消除的收敛分析式;另一方面,为了寻找非线性声讯回音消除较佳的收敛方式,我们也提出并比较几种不同的系数更新方法。

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