numerical differentiation

numerical differentiation的基本解释

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数值微分法

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数值微分

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

Numerical differentiation is applied to estimate the structural parameters of measurement systems.

采用数值微分方法直接对测试系统的结构参数进行估计，可以直接得到测试系统的结构参数，具有简单明了的特点。

The simulation results show that the model based on numerical differentiation is suitable for angle tracking, and filtering-predicting has preferable robustness.

仿真结果表明，基于数值微分的模型适用于角度跟踪，滤波预测具有较好的鲁棒性。

Experimental results show that dynamic modeling by numerical differentiation is effective even if there is noise of definite magnitude in the measurement data.

计算结果表明，即使在测量数据中混有一定水平的随机干扰，只要合理选择参数，也能得到较高准确度的估计结果，说明该方法是一种行之有效的建模方法。

The numerical differentiation is often used when dealing with the differential equations.

当求解微分方程问题时，数值微分是常用的方法，将微分方程转化成代数方程组求解。

The numerical differentiation of Normal Probability Distribution is examined as an example.

本文的目的即在探讨，因当使用值计算而产生的误差有多大，文中并以常态分配之值微分为。

与numerical differentiation相关的网络解释 [注：此内容来源于网络，仅供参考]

numerical differentiation：数值微分

Numeric iteration 数值反覆法;数值叠代法 | Numerical differentiation 数值微分 | Numerical integration 数值积分

numerical differentiation：数值微分,数值微分法

numerical differential 数字微分 | numerical differentiation 数值微分,数值微分法 | numerical digit 数位