Search - polynomial least square

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[Other resource] vbNumerical10 DL : 0: 最小平方近似法 (least-squares approximation) 是用來求出一組離散 (discrete) 數據點的近似函數 (approximating function)，作實驗所得的數據亦常使用最小平方近似法來達成曲線密合 (curve fitting)。以下所介紹的最小平方近似法是使用多項式作為近似函數，除了多項式之外，指數、對數方程式亦可作為近似函數。關於最小平方近似法的計算原理，請參閱市面上的數值分析書籍-least square approximation (least-squares approximation) to get a group of discrete (discrete) data point to the approximate function (approximating function), the experimental data are often using the least square approximation to reach a secret curve (curve fitting) . Outlined below are the least square approximation is used as a polynomial approximation functions, in addition to polynomials, the index several right formula may be used as a similar function. On the smallest square approximation calculation principles, please refer to the numerical analysis of the market books
Update : 2008-10-13 Size : 3.22kb Publisher : 三米
[Data structs] vbNumerical10 DL : 0: 最小平方近似法 (least-squares approximation) 是用來求出一組離散 (discrete) 數據點的近似函數 (approximating function)，作實驗所得的數據亦常使用最小平方近似法來達成曲線密合 (curve fitting)。以下所介紹的最小平方近似法是使用多項式作為近似函數，除了多項式之外，指數、對數方程式亦可作為近似函數。關於最小平方近似法的計算原理，請參閱市面上的數值分析書籍-least square approximation (least-squares approximation) to get a group of discrete (discrete) data point to the approximate function (approximating function), the experimental data are often using the least square approximation to reach a secret curve (curve fitting) . Outlined below are the least square approximation is used as a polynomial approximation functions, in addition to polynomials, the index several right formula may be used as a similar function. On the smallest square approximation calculation principles, please refer to the numerical analysis of the market books
Update : 2025-02-19 Size : 3kb Publisher : 三米
[MPI] least_square DL : 0: 用最小二乘法来进行函数模拟。对输入的数据构造一个多项式。-using the method of least squares to function simulation. Of input data structure a polynomial.
Update : 2025-02-19 Size : 403kb Publisher : liuhua
[Algorithm] CurveFit_Poly DL : 0: 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
Update : 2025-02-19 Size : 12kb Publisher : bilka
[Algorithm] Curve_fitting_of_algebra_poiynomial_and_least_squa DL : 0: 代数多项式曲线拟合与最小二乘法PDF文档-Algebraic polynomial curve fitting with least square method PDF documents
Update : 2025-02-19 Size : 91kb Publisher : pipi_dog
[AI-NN-PR] lwr DL : 0: 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 weighted fitting, and estimated by least square method. It combines the traditional local polynomial fitting, locally weighted regression as well as strong robustness of the fitting process
Update : 2025-02-19 Size : 3kb Publisher : wanghuaqiu
[Algorithm] srir DL : 0: 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
Update : 2025-02-19 Size : 1kb Publisher : 953427
[Algorithm] 1 DL : 0: 理解函数插值与拟和的基本原理。掌握多项式插值、样条插值以及最小二乘法拟和的编程实现。-Interpolation and to understand the function and basic principles. Have polynomial interpolation, spline interpolation and least square method and the programming to be.
Update : 2025-02-19 Size : 234kb Publisher : 小宁
[matlab] polynomial DL : 0: 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
Update : 2025-02-19 Size : 8kb Publisher : Karthikeyan
[Other] Error_Processing DL : 0: 可以进行最小二乘法拟合和多项式拟合！其他还有误差相关数据分析。-Can least square fitting and polynomial fitting! Others include the error related to data analysis.
Update : 2025-02-19 Size : 50kb Publisher : lixiaowei
[Algorithm] curvefitting DL : 0: 利用最小二乘法计算N个数据点的拟合多项式。-calulating the fitting polynomial of n grid data using the least Square Method
Update : 2025-02-19 Size : 1kb Publisher : 曾淑玲
[Algorithm] p62 DL : 0: 由已知的一些散点，用最小二乘法来拟合多项式。-Some scattered points from the known, the least square method to fit the polynomial.
Update : 2025-02-19 Size : 1kb Publisher : yuqi
[Algorithm] Curve-fitting-algorithm DL : 0: 用最小二乘法，在已知函数点x0，x1……xn的函数值y0，y1……yn的情况下，求拟合多项式-The least square method, the known function points x0, x1 ... ... xn of the function values y0, y1 ... ... yn circumstances, find fitting polynomial
Update : 2025-02-19 Size : 1kb Publisher : 陈炎龙
[Algorithm] nihe DL : 0: 最小二乘法的基本原理和多项式拟合最小二乘法的基本原理和多项式拟合-The basic principle of the least square method and polynomial fitting
Update : 2025-02-19 Size : 47kb Publisher : lkh
[matlab] nihe DL : 0: 给定数据点实现平面上封闭曲线的。改变参数j和k的值，就能对光滑封闭曲线实现最小二乘拟合。-Least square polynomial fitting
Update : 2025-02-19 Size : 1kb Publisher : 楠哥
[matlab] RSSI_Matlab_Y DL : 0: 用matlab统计不同距离的RSSI值，画折线图，并最将各距离处平均值用最小二乘法拟合成3到5项多项式曲线-RSSI value of the matlab statistics at different distances, draw a line chart, and most average each distance with the least square method were fitted polynomial curve of 3-5
Update : 2025-02-19 Size : 4kb Publisher : 880614
[Console] lesat-square DL : 0: 实现对离散数据的最小二乘法拟合，得到多项式表达式-Least squares fit of the discrete data obtained polynomial expression
Update : 2025-02-19 Size : 1kb Publisher : 施金金
[assembly language] DXSNH DL : 3: 基于最小二乘的多项式拟合法的GPS周跳探测程序-Based on the least square polynomial fitting method of GPS cycle slip detection program
Update : 2025-02-19 Size : 1kb Publisher : 马超
[Mathimatics-Numerical algorithms] lsa-poly.tar DL : 0: “lsa-poly” is a polynomial least square fitting tool. e.g.: lsa-poly -f data.dat -x 1 -y 2 -n “-7 -2 0 4” -oe will fit column 2 with column 1 of data.dat, and the fitting function consists of x^-7. x^-2, x^0 and x^4 terms. ===================== The source code is compressed with two precompiled binaries, the MacOS X 10.9 and Ubuntu 11 on Linux 3.0.0.14 (64 bit).
Update : 2025-02-19 Size : 85kb Publisher : 孙谨
[matlab] 最小二乘法在商业活动中的应用及其在MATLAB的实现 DL : 0: 利用基于最小二乘法的多项式拟合算法处理商业数据，包含源码(Using the polynomial fitting algorithm based on the least square method to deal with commercial data, including the source code)
Update : 2025-02-19 Size : 1.7mb Publisher : hgfji

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