搜索资源列表
实验2-插值与拟合
- 1、掌握用MATLAB计算拉格朗日、分段线性、三次样条三种插值的方法，改变节点的数目，对三种插值结果进行初步分析。 2、掌握用MATLAB作线性最小二乘的方法。 3、通过实例学习如何用插值方法与拟合方法解决实际问题，注意二者的联系和区别。-1. Grasp by matlab calculating Lagrange, segement linear, 3rd order spline these 3 interpolation method. Analisize the 3 interpola
fitqr
- 基于矩阵QR分解的最小二乘拟合MATLAB源程序-based on QR decomposition of the matrix least squares fitting MATLAB source
最小二乘法直线拟合
- 基于最小二乘原理的直线拟合程序-based on the principle of linear least squares fitting procedure
最小二乘法曲线拟合
- 基于最小二乘原理的曲线拟合程序-A program of curve fitting based on least squares algorithm.
smooth.rar
- 最小二乘法曲线拟合算法，简单清晰，可以实际应用,smallest 2 smooth ,visual c++，simple,
NH2.rar
- 最小二乘法曲线拟合的程序。根据试验采集的10-100个采样点，利用最小二乘思想，可以拟合出N次的曲线。具体阶次自己设定。,Least squares curve fitting procedures. 10-100 in accordance with test samples collected, the use of least squares of thought, can be fitted curve N times. Specific order set.
Debug
- 最小二乘法直线拟合程序 最小二乘法直线拟合程序-Linear least squares fitting procedure fitting a straight line least squares procedure
CurveInterpo
- 曲线拟合的最小二乘法,简洁清晰版.为pdf格式-The least squares curve fitting, clear and concise version. For pdf format
curvefitting
- 最小二乘法的曲线拟合检测圆软件,只需点击三个点就可以吧圆拟合出来。-Least squares method of curve fitting software Detect circle, simply click on the three-point circle fitting can let out.
leastsquaresprocedure090513
- 最小二乘法实现m个方程的最高n次多项式的拟合。-least-squares procedure
Least_quare_straight_line_Fit
- c#最小二乘法直线拟合，任意点的数目，求出最佳拟合直线方程并绘制-c# least squares linear fit
618
- 本程序用C语言编辑 利用非线性最小二乘法来拟合模型，并对其进行PID控制-The program uses C language to edit using nonlinear least squares fitting model, and gain PID control
Gaussian_curve
- 最小二乘法高斯曲线拟合，基于最小二乘法拟合高斯曲线，包括最小二乘实现和多峰高斯曲线拟合调用-Least squares Gaussian curve fitting
several-important-vb-least-squares
- 最小二乘法 实现曲线拟合，然后用c++画出曲线图像-Least squares and curve fitting, and then draw the curve with c++ images
WPKLS
- 提出了基于小波核函数的偏最小二乘方法对混沌信号进行了有效拟合，得到了很好的效果。-Based on wavelet kernel function of the partial least squares method of fitting the effective chaotic signal obtained very good results.
BestFitting
- 使用java实现最小二乘算法，实现曲线拟合，实现多项式拟合(Using java algorithm to achieve the least squares, curve fitting, polynomial fitting)
Gaussianfit2D
- 高斯二维拟合 最小二乘多次拟合(Gauss, two-dimensional fitting, least squares, multiple fitting)
MLS
- MLS（移动最小二乘） 1.拟合函数的建立不同。这种方法建立拟合函数不是采用传统的多项式或其他函数，而是通过系数向量和基函数来决定在某个x处的值。 2.引入紧支的概念，认为在x处的值y只受到x附近子域内的节点的影响。这个子域称作是x的影响区域，影响区域外的节点对x处的取值没有影响。影响区域内的每个节点对x处的取值的影响是不一样的。所以需要一个权函数来定义每个节点的影响。(MLS (Moving Least Squares) July 25, 2018 15:42:20 blank_downdo
ellipse
- 根据离散数据点拟合圆，得到圆心坐标和拟合半径(Fitting the circle according to the discrete data points, the coordinates of the center of the circle and the fitting radius are obtained.)
最小二乘曲面拟合详细文档及代码
- 最小二乘曲面拟合详细文档及代码，matlab实现，有仿真结果