Description: 多项式曲线拟合 任意介数 Purpose - Least-squares curve fit of arbitrary order
working in C++ Builder 2007 as a template class,
using vector<FloatType> parameters.
Added a method to handle some EMathError exceptions.
If do NOT want to use this just call PolyFit2 directly.
usage: Call PolyFit by something like this.
CPolyFit<double> PolyFitObj
double correlation_coefficiant = PolyFitObj.PolyFit(X, Y, A)
where X and Y are vectors of doubles which must have the same size and
A is a vector of doubles which must be the same size as the number of
coefficients required.
returns: The correlation coefficient or -1 on failure.
produces: A vector (A) which holds the coefficients.-Polynomial curve fitting the number of arbitrary referral Purpose- Least-squares curve fit of arbitrary order working in C++ Builder 2007 as a template class, using vector Platform: |
Size: 12288 |
Author:bilka |
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Description: This program calculates the capacity of MIMO system in IID channel model and plot the graph.The graph is plotted with out least square curve fit. Platform: |
Size: 1024 |
Author:Dinesh Panthy |
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Description: 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. Platform: |
Size: 184320 |
Author:jimlank |
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Description: 最小二乘是由方程式近似的数据点的一组的方式，让你预测中间值，或计算的数据的一些措施。您可能已经通过绘制通过数目的数据点图上绘制的直线近似的趋势线。最小二乘这不只是“装修”，但在数学的方式，最大限度地减少错误，从而导致。我的单元延伸最小二乘从仅仅是一种直线拟合到高阶多项式为更复杂的数据（其中可能有一平方律拟合的物理原因，例如），或更好的匹配的数据。-Least-squares is a way of approximating a set of data points by an equation, allowing you to predict intermediate values or calculate some measure of the data. You may have approximated a trend-line by drawing a straight line through a number of data points plotted on a graph. Least-squares does just this "fitting" but in a mathematical way that minimises the errors that result. My unit extends least-squares from just a straight-line fit into higher order polynomials for more complex data (where there may be a physical reason for a square-law fit, for example) or for a better match to the data. Platform: |
Size: 222208 |
Author:liu |
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Description: It is one of the successful prediction algorithms to estimate frequently for unknown parameters with real time operation. The principle of Recursive Least Square depends on least square mathematical weighted. Also, Recursive Least Square can set the points to fit the curve. Platform: |
Size: 2048 |
Author:jawad |
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Description: 程序中的算法为使用最小二乘法拟合曲线，输入N个数据，可使用该程序拟合出N-1次的曲线函数，输出为函数各项的系数。-Program algorithm using a least squares fit curves N input data, you can use this program to fit the curve function N-1 times the output as a function of the coefficients. Platform: |
Size: 1131520 |
Author:李源 |
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Description: 切比雪夫 用切比雪夫多项式逼近已知函数
勒让德 用勒让德多项式逼近已知函数
帕德 用帕德形式的有理分式逼近已知函数
lmz 用列梅兹算法确定函数的最佳一致逼近多项式
ZJPF 求已知函数的最佳平方逼近多项式
方舟子 用傅立叶级数逼近已知的连续周期函数
事实上的部队 离散周期数据点的傅立叶逼近
SmartBJ 用自适应分段线性法逼近已知函数
SmartBJ 用自适应样条逼近（第一类）已知函数
multifit 离散试验数据点的多项式曲线拟合
LZXEC 离散试验数据点的线性最小二乘拟合
ZJZXEC 离散试验数据点的正交多项式最小二乘拟合-Chebyshev Chebyshev polynomial approximation with a known function of Legendre Legendre polynomial approximation of a known function with Pade Pade form of rational fraction approximation of the best known function is consistent with the function of determining lmz Lie Meizi algorithm best square approach polynomial ZJPF seek known function approximation polynomial approximation Fang continuous cycle function known DFF discrete periodic data points Fourier Fourier series approximation of a known function approximation SmartBJ SmartBJ adaptive piecewise linear method adaptive spline approximation (first class) known function multifit discrete experimental data points polynomial curve fitting LZXEC discrete linear least squares fit of the experimental data points ZJZXEC discrete experimental data points orthogonal polynomials least squares fitting Platform: |
Size: 8192 |
Author:houguoq |
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Description: 用最小二乘法对时间序列进行周期拟合，求出周期曲线的参数，并求出拟合的精度评价。(The least square method is used to fit the time series, the parameters of the periodic curve are obtained, and the accuracy of the fitting is evaluated.) Platform: |
Size: 38912 |
Author:hailong闯天涯
|
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Description: 本函数为迭代最小二乘算法，用于拟合曲线，已经通过验证(This function is an iterative least square algorithm, which is used to fit the curve, and has been verified.) Platform: |
Size: 2048 |
Author:张tt |
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Description: 使用一般PI模型拟合非线性曲线，最小二乘法参数辨识，逆模型前馈(The general PI model is used to fit the nonlinear curve, the least square parameter identification, and the inverse model feedforward.) Platform: |
Size: 2048 |
Author:zjqhdu |
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Search - least square curve fit