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最小二乘法进行执行拟合小程序，只要输入一系列（大于2个坐标点）的数据，与matlab直线拟合结果做过比较，结果比较吻合和皮实-least squares fitting method for the implementation of small programs, as long as the importation of a series (more than two coordinate points), and Matlab linear fitting results done ear
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//最小二乘法直线拟合
m_FoldList为关键点(x,y)的链表
拟合直线方程(Y=kX+b)
-/ / linear least squares fitting m_FoldList as the key point (x, y) of Chain fitting linear equation (Y = C/56 b)
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一个基于VC的最小二乘法直线拟合,很有用哦-a VC-based linear least squares fitting method, useful oh
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直线型最小二乘法算法，程序运行正确，已经测试过的，可以嵌入自己的程序中，很有用的。-Linear least squares algorithm, the program is running correctly, has been tested and can be embedded in the process of their own, very useful.
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this Illustration of linear least squares.-this is Illustration of linear least squares.
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卡尔曼于1960年提出了离散系统线性滤波的递推求解方法即卡尔曼滤波算法。该滤波算法是基于线性最小平方法的、进行有效递推计算的一组数学方程式,算法功能强大,支持对过去、现在和将来状态的估算。-Kalman in 1960 proposed a linear discrete-time systems to solve recursive filtering methods for the Kalman filter. The filtering algorithm is based on the
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* FILE: least-squares.c
* This program computes a linear model for a set of given data.
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* PROBLEM DEscr iptION:
* The method of least squares is a standard technique used to find
* the equation of a straight line from a set of data.
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fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh distribution.
given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples.fits data to the probability of the form: p(r)=r*exp(-
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ALGLIB is a cross-platform numerical analysis and data processing library. It supports several programming languages (C++, C#, Pascal, VBA) and several operating systems (Windows, Linux, Solaris). ALGLIB features include:
• Linear algebra (di
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TDOA/A OD混合定位最小二乘定位算法MATLAB源码.TDOA/AOA/AOD混合定位的非线性比较强，这里给出其最小二乘的泰勒级数展开最小二乘算法.本源码由GreenSim团队原创-TDOA/AOA/AOD hybrid location positioning algorithm for least squares MATLAB source .TDOA/AOA/AOD hybrid location of relatively strong non-linear, this gives
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最优加权最小二乘估计与线性无偏最小方差估计性能比较-Optimally weighted least squares and linear unbiased minimum variance estimation performance comparison
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该程序通过依次输入已知点个数n，输入已知点的X坐标，输入已知点的Y坐标直接得到经最小二乘法拟合得到的一元线性方程。-The procedure followed by the number of known points in the input n, enter the coordinates of a known point X, Y coordinates of a known point input directly from the least squares fitted by a
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a detailed descr iption of the method of nonlinear least squares problems
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最小二乘回归算法以及其模型检验和参数检验并自动逐步检验。-linear least squares regression，model and parameters testing
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最小二乘法，求解线性方程组时使用了lapack库。-Least squares method，using the lapack libraries to solve linear equations.
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C++实现最小二乘法源代码，可在线性误差等计算上应用-C++ least squares method to achieve the source code, using for linear error calculation
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可进行最小二乘法线性拟合输出，包含源代码及生成后的程序-Least-squares linear fit can be output
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Analytical solution for Orthogonal Linear Least Squares in two dimensions
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最小二乘法，带GUI界面拟合线性曲线，实验中可以用作参考，自己编写的程序-The least squares method, linear curve fitting with a GUI interface, the experiment can be used as a reference, you have written procedures
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线性的最小二乘法，以及非线性最小二乘法，最小二乘源码-Linear least squares method, as well as nonlinear least squares method, least squares
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