本文用最小二乘法一致逼近及容差平滑分段圆弧拟合平面点列。
This article introduces least square method of unanimous approximation and smooth tolerance of segmented circular arc fit for planar range of Points.
还建立了基于最小二乘法曲线拟合与指数平滑法的需求量预测模型。
Additionally, a model of demand forecast, which bases on methods of least square and exponential smoothing, also be made.
本文提出了一种利用多变量最小二乘法确定最佳数据平滑因子的方法，建立了优化平滑器特性的数学模型。
The paper presents the multi-variable least square method to determine the optimal factor of data smoothing and its amplitude-frequency characteristics and compares it with the general filter.
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