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最小二乘法拟合曲线（用到矩阵求逆、矩阵乘法、矩阵转置）-Least square fitting curve (use matrix inversion, matrix multiplication, matrix transpose)
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强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程
-Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For wei
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最小二乘拟合算法C程序，N为拟合点数，T为拟合阶数。-Least-squares fitting algorithm C procedures, N for the fitting points, T for the fitting order.
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最小二乘法——一般多项式拟合曲线，并以x-eexp(-x) 0<=x<=2 ,为例进行拟合-Least square method- general polynomial fitting curve, and x-eexp (-x) 0 < = x < = 2, as an example, fitting
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建立了一种基于移动最小二乘(Moving Least-Squares MLS)法的曲线曲
面拟合方法这种方法对传统的最小二乘(LS)法的作了比较大的改进使生成的曲线曲面具
有精度高光滑性好等许多优点详细介绍了移动最小二乘法的原理应用和特点并且给
出了使用移动最小二乘法进行曲线曲面拟合的程序设计流程最后给出了曲线拟合和空间散
乱数据曲面拟合算例将拟合结果与最小二乘拟合结果作了比较分析了MLS 拟合曲线曲
面的光滑性和拟合质量表明了该方法的优越性和有效性-The establis
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nonlinear least square fitting library
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最小二乘法拟合是一种曲线拟合方法，它不要求近似曲线过已知点，只要求尽可能反应数据点的基本趋势。这是它的C语言程序-Least square method is a curve fitting method, which does not require similar curves have been known, the only response to the extent possible, the basic trend of data points. This is the C lan
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Least-square curve fitting using polynomials is probably the most basic way to perform some parametric regression analysis. Foor basic tools for polynomial curve fitting are provided here. I also strongly recommend the exhaustive function POLYFITN
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This code is for the curve fitting with least square sense algrorithm. Using the measurment data, end-user can get the curve (1st order~ 4th order approximation)
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利用最小二乘算法对一组坐标进行曲线拟合，其中包含了利用直接LU分解法解方程的算法代码实现。希望对用到数值计算的带来帮助。-The least square algorithm for fitting a set of coordinates, including the use of direct LU decomposition equations for the algorithm code to achieve. Want to use to bring numerical help.
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基于直接最小二乘法的椭圆拟合程序，比较实用，适用于图像处理，椭圆拟合方面研究的初学者-Direct least square method based on ellipse fitting procedure more practical for image processing, aspects of ellipse fitting for beginners
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本程序用C语言实现最小二乘法拟合曲线，欢迎大家下载-C language with least square fitting curve
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最小二乘法-曲线拟合，，c语言程序。。经测试正确。。计算方法-Least square method- curve fitting,, c language program. . The test correctly. . Calculation
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最小二乘拟合，最小二乘拟合直线算法，使用matlab实现最小二乘拟合直线。-Least square fitting, least squares fitting straight line method, using the least squares fitting straight line matlab implementation.
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多点采样的最小二乘法直线拟合算法vb编程.-The least square method, linear fitting.
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最
小二乘法通常用于曲线拟合(least squares fitting) 。
这里有拟合圆曲线的公式推导过程和vc 实现。-The least squares method is usually used for curve fitting (least squares fitting). Here is the derivation of the formula of the circular curve fitting and vc achieve.
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Matlab实现最小二乘拟合.要求输入拟合点，输出拟合函数的系数并在同一坐标系下画出离散点和拟合曲线。-matlab has given a least square fitting algorithm.and given combine curve.
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使用最小二乘法拟合任意次多项式函数。内含完整排列产生函数以及行列式求值函数。-Least-square fitting to a polymial with artribute order.
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最小二乘法拟合曲面，拟合效果很好，精度很高-Least squares fitting, fitting good effect, high accuracy
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基于MATLAB开发的最小二乘拟合算法，供大家分享讨论使用，谢谢提出改进的地方。-least square fitting
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