Search - Least Squares Fitting

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[Algorithm] fit_line DL : 0: //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)
Update : 2025-02-19 Size : 3kb Publisher : qiao
[Algorithm] lsq DL : 0: The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar-rotation algorithm is used to update the QR- factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill- conditioned problems, such as fitting polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back-substitution routine BKSUB2 which it calls, the routines behave as in AS 274.-The module is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar- rotation algorithm is used to update the QR-factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill-conditioned problems, such as fitting Polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back- substitution
Update : 2025-02-19 Size : 56kb Publisher :
[Mathimatics-Numerical algorithms] svdfit DL : 0: 通过奇异值分解实现的最小二乘拟合算法 inear least-squares fit by singular value decomposition-through the singular value decomposition of the least squares fitting algorithm inear least-squares fit by singular value decomposition
Update : 2025-02-19 Size : 1kb Publisher : 游江
[Special Effects] fitting DL : 0: Fitzgibbon, Pilu, Fisher: Direct Least Squares Fitting of Ellipses -Fitzgibbon, Pilu, Fisher : Direct Least Squares Fitting of Ellipses
Update : 2025-02-19 Size : 30kb Publisher : 陈西
[Other] ls-fitting-C DL : 0: 最小二乘的C语言程序－最小二乘原理学习参考的好例子。-Least-squares of C language programming- the principle of least squares learning a good example of reference.
Update : 2025-02-19 Size : 3kb Publisher : 纪晓岚
[Graph Drawing] niheyuan DL : 0: 最小二乘曲线拟合圆，vc的源代码和推导过程-Least squares curve fitting circle, vc source code and derivation
Update : 2025-02-19 Size : 124kb Publisher : 孟辰
[Algorithm] Least-squares-fitting DL : 0: 用最小二乘法解决实际问题，如曲线拟合，插值分析，-Least square method in solving practical problems, such as curve fitting, interpolation analysis
Update : 2025-02-19 Size : 1kb Publisher : 郭豫川
[Algorithm] least-square-fit DL : 0: 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.
Update : 2025-02-19 Size : 1kb Publisher : 唐荣
[Algorithm] MovingLeast-SquaresMLS DL : 2: 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-Was established based on moving least square (Moving Least-Squares MLS) method of this curve and surface fitting method to the traditional method of least squares (LS) method was relatively large improvements to make the generated curves and surfaces with a precision of High smoothness, good detail, and many other advantages of the principle of least-squares method for mobile applications and features and gives the least-squares method using the mobile curve and surface fitting procedure design process Finally, curve fitting and spatial scattered data surface to be cost-effective cases of the results of the fitting results are compared with the least-squares fitting analysis of MLS fitting curves and surfaces smooth and fitting quality demonstrates the superiority and effectiveness of the method
Update : 2025-02-19 Size : 457kb Publisher : 李秀丽
[matlab] OUProcess DL : 0: This program calibrates the Ornstein–Uhlenbeck process, a mean reverting AR(1) stochastic process. The parameters are estimated using (1)Least Squares fitting and (2)Maximum Likelihood estimation.-This program calibrates the Ornstein–Uhlenbeck process, a mean reverting AR(1) stochastic process. The parameters are estimated using (1)Least Squares fitting and (2)Maximum Likelihood estimation.
Update : 2025-02-19 Size : 1kb Publisher : panda
[AI-NN-PR] Weighted-Least-Squares.ppt DL : 0: WLS是拟合的基础文档，适合数据挖掘人员学习用-WLS is the fitting of the basic documentation, to learn to use for data mining
Update : 2025-02-19 Size : 78kb Publisher : yuanxuegeng
[matlab] EllipsoidFitting DL : 0: 椭球拟合程序源代码，用于基于最小二乘法德椭球拟合-Ellipsoid fitting program source code for France, Germany, based on least squares fitting ellipsoid
Update : 2025-02-19 Size : 2kb Publisher : robin
[OpenGL program] alglib-3.2.0.cpp DL : 1: 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 (direct algorithms, EVD/SVD) • Solvers (linear and nonlinear) • Interpolation • Optimization • Fast Fourier transforms • Numerical integration • Linear and nonlinear least-squares fitting • Ordinary differential equations • Special functions • Statistics (descriptive statistics, hypothesis testing) • Data analysis (classification/regression, including neural networks) • Multiple precision versions of linear algebra, interpolation optimization and others algorithms (using MPFR for floating point computations)
Update : 2025-02-19 Size : 961kb Publisher : supereast
[Algorithm] a-new-Least-squares-fitting-method DL : 0: 本程序是基于非等距节点的正交多项式的最小二乘法拟合算法，该算法已经在vc++6.0下调试通过，经多次验证，本算法的拟合误差较小。-This procedure is based on equidistant nodes of non-orthogonal polynomial least squares fit algorithm, which has been in vc++6.0 through debugging, after repeated verification, the algorithm of fitting error is small.
Update : 2025-02-19 Size : 1kb Publisher : 张科
[matlab] least_least_squares_regression DL : 0: 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.
Update : 2025-02-19 Size : 1kb Publisher : 滕宇
[Algorithm] leastSquares DL : 0: 基于VC++的最小二乘法拟合曲线，可以自动生成n次多项式，算法简洁明了。-VC++ based on the least-squares fitting curve, can automatically generate n polynomial, the algorithm clear and concise.
Update : 2025-02-19 Size : 1mb Publisher : yaoqin
[Algorithm] Moving-Least-Squares-Methods DL : 0: 移动最小二乘曲线拟合原理，论文中分析了一维和二维的例子，并且同最小二乘法进行比较。-Moving least squares curve fitting principle, the paper analyzes the one-dimensional and two-dimensional case, and compared with the least squares method.
Update : 2025-02-19 Size : 735kb Publisher : jack
[Other] Least-squares-fitting-line DL : 0: 用C语言通过最小二乘法拟合出已知直角坐标的点进行线性拟合，并给出表达式及线性度-Least squares fitting line
Update : 2025-02-19 Size : 1kb Publisher : 华暗香
[matlab] Least-squares-fitting-curve DL : 0: 用matlab所学的知识，编写最小二乘法拟合程序，以解决物理实验中的最小二乘法拟合曲线以及相关系数等的问题。-With matlab learned, the preparation method of least squares fitting procedure to solve the problems of the least-squares fitting curve and correlation coefficient physics experiments.
Update : 2025-02-19 Size : 71kb Publisher : 邓棋文
[CSharp] The-least-squares-fitting DL : 0: 最小二乘法平差（least squares method）是在残差向量V和权矩阵P满足Vl’PV为最小的条件下，求取测量值和参数的最佳估值，并进行精度估计的理论和方法。-The least squares fitting
Update : 2025-02-19 Size : 9kb Publisher : 江周

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