General linear and nonlinear smoothing in an intensity image can blur corners seriously, so its difficult to detect corners by a multi scale approach.
对灰度图进行一般线性和非线性平滑会极大程度地模糊拐角，使得多尺度方法难以用于拐角检测。
With the data of nonlinear processing and data smoothing function, rapid automatic correction, self diagnostic message.
具有数据非线性处理及数据平滑功能，快速自动多点校正，自诊断信息提示。
In the smoothing process of image, it is very important for nonlinear filter to reserve fringe detail of image while filtering noise.
图像平滑处理中，如何在去除噪声的同时完整地保留图像边缘细节一直是非线性滤波算法研究的热点问题。
The KKT conditions of a nonlinear programming with linear inequality constrains can be transformed into a system of equations by NCP function. Then it is smoothed by Entropy smoothing function.
带不等式约束的非线性规划，其KKT条件可以通过NCP函数转化为一个非光滑的方程组，然后用熵光滑化函数光滑化，得到一个带参数的方程组。
A smoothing approximation algorithm for nonlinear complementarity problems was introduced and the global convergence of the algorithm was proved under milder conditions.
提出了求解非线性互补问题的一个光滑逼近算法，在一定条件下证明了该算法的全局收敛性。
Linear regression equation is analyzed by using indirect error-smoothing, and nonlinear regression equation is optimally selected by using the method of comparison of mid-point of curve.
用间接观测平差法分析线性回归方程，用曲线中点比较法选择最优非线性回归方程。
Quartic exponential smoothing method can follow the nonlinear trend of time series better and can also forecast better.
布朗单一参数四次指数平滑能更好地跟踪时序的非线性变化趋势，达到更好的短期预测效果。
As the non-degeneracy condition holds and the smoothing parameter tends to zero, an S-stationary point of the MPCC problem is equivalent to a KKT point of the smoothing nonlinear programming.
当非退化条件成立和磨光参数趋于零时，证明了原问题的S -稳定点与磨光非线性规划的KKT点等价。
Data smoothing is a perpetual topic in mathematical statistics. In practice we usually use regression to smooth data, including linear regression and nonlinear regression.
数据拟合是数理统计学中的一个永恒话题，在实际工作中我们最常用的拟合方法是回归分析，其中包括线性回归和非线性回归。
Data smoothing is a perpetual topic in mathematical statistics. In practice we usually use regression to smooth data, including linear regression and nonlinear regression.
数据拟合是数理统计学中的一个永恒话题，在实际工作中我们最常用的拟合方法是回归分析，其中包括线性回归和非线性回归。
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