英语人>网络例句>approximation error 相关的网络例句
approximation error相关的网络例句

查询词典 approximation error

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

The convergence of the iterative approximation of the solutions of uniformly accretive operator equation by the modified Ishikawa and Mann iteration processes with error are.

研究实 Banach空间中一致Φ-强增生算子方程解的修改了的具误差的 Ishikawa迭代序列的收敛性问题。

Adaptive subdivision is performed only in the areas facing to the viewpoint in the pre-process. And in the each adaptive subdivision, we choose the normal angle of the adjacent faces as the control error to detect whether the approximation is sufficient. Sharp edges are automatically tagged according to the given thresholdθand subdivision masks are designed based on different sharp degrees.

在预处理过程中,只选取面向视点的网格作为能够被进一步自适应细分的网格;在自适应细分过程中,用相邻面片的法向夹角作为控制误差来反映细分的逼近程度是否足够;并根据预设的阈值θ自动标记网格中的尖锐特征边,重新设计尖锐特征处的权值掩模。

The calculations show that the approximation for the birefringence and the rotatory property of interaction material leads to an error in the optimum incident angle for TeO2 more than 10%, a diviation in fa-λ0 relation from experiment results, and make the spectral resolution and angular aperture of the device to be degrade.

结果指出,在该波长下,对晶体双折射取近似表达式和不计入晶体的旋光特性,对光波最佳入射角θi的选取(在θi小于60°的范围内),将引入大于10%的误差,这个误差由于涉及到是否满足动量匹配条件,因此会对器件的性能有直接的影响。

Moreover, we also give some examples to compare with our spectrum with maximal approximation error and discuss its result.

我们在此也举出例子,来比较我们所设计出的频谱其最大误差,并讨论其结果。

Based on artificial neural network approximation error BP algorithm.

详细说明:基于人工神经网络BP算法的误差逼近。

And it proposes a semiregular mesh geometry coding related to the reconstruction of the mean square error of approximation.

提出了和半规则网格几何编码相关的重建均方误差的近似方法。

This algorithm is simple and easy to realize. Examples showed that the approximation error is small and the approach has good results.

通过具体实例对逼近效果进行演示与分析,结果表明该算法的逼近误差小,效果好。

The valid range and accuracy of the fitted approximation were evaluated by error analysis.

通过误差分析确定了拟合关系式的适用范围,在此范围内,拟合式与精确式的相对误差小于25%。

Actually,there are lots of uncertainties in real systems,such as model approximation, algorithm error etc,which have great impact on dynamic stabilities.

实际上,由于模型的近似表示和算法上的近似处理等,电力系统中还存在着大量的不确定性。

When used in signal expansion, this model can give a relative constant error of approximation in a larger frequency band.

实现了采用此模型的匹配算法,并且通过实验对比了梯度法、相位法和新算法的性能

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