搜索资源列表
tidujiaozheng
- 通过MATLAB仿真实现梯度校正最小二乘法的验证。-Gradient through the MATLAB simulation verification correction least square method.
Least-squaresfittingalgorithm
- 用最小二乘法实现曲线拟合算法，通过给定的数据拟合出一条曲线-Using least squares curve fitting algorithm to achieve, through the given data fitting a curve
assignment_LS
- 用matlab实现的一个最小二乘法的简单例子-Using matlab to achieve a simple example of least squares
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
zuixiaoercheng
- 代码主要实现了一个最小二乘法拟合实验数据的算法。-The code for the main algorithm of a least squares fit of experimental data.
daviddoria-vtkBestFitPlane-cc29e58
- 最小二乘法进行平面拟合，输入点云数据，拟合成一个平面，采用VTK进行交互显示和实现-Plane fitting the least squares method, the input point cloud data, fit a plane using VTK interactive display and
1441
- 图形处理 最小二乘法 实现方法及图形 图形处理 最小二乘法 实现方法及图形-Graphics processing method of least squares method and graphic graphics processing method of least squares method and graphics
lab3
- 自己编写的最小二乘法实现系统辨识，得到系统的数学模型。运行无错误，供参考-the least-norm method
Fitting-a-straight-line
- 最小二乘法实现的直线拟合，非常实用，简单易懂，C语言程序-Least square method to realize the linear fitting, very practical, straightforward, C language program
最小二乘法多次曲线拟合
- 因本人项目用到最小二乘法多次曲线拟合，便抽时间写了一个实现的程序，不敢独享，
OLS
- 该程序可以实现直线、平面的正交拟合，压缩包内附带示例数据(The program can achieve a straight line, plane orthogonal fitting, compressed sample data attached to the package)
C#写的最小二乘法程序
- 实现了最小二乘算法的编写，初始解解算和迭代解算都能正常运行。(The preparation of least squares algorithm, the initial solution calculation and iterative solution can normal operation.)
newmarkb
- 考虑一结构系统 m*Xdd+k*X+c*Xd=y 利用已知Xdd（加速度），Xd（速度），X（位移），y(外荷载)系列数据，采用递归最小二乘法实现在线参数m、k、c识别，须考虑到“遗忘因子”。(Consider a structural system m*Xdd+k*X+c*Xd=y By using known Xdd (acceleration), Xd (velocity), X (displacement) and Y (external load) series data, rec
最小二乘
- matlab实现数据补缺，采用的是最小二乘法和平均值填补，补缺的数据用特殊颜色标记。(Matlab realization of data deficiency, least square method)
python 偏最小二乘法
- 包含python实现偏最小二乘回归的源代码，同时文件中还有所需数据格式(Contains python partial least-squares regression source code, at the same time the file also has the required data format.)
数值分析上机
- 高斯法，牛顿法，最小二乘法，二分法等实现数值分析计算。(The Gauss method, the Newton method, the least square method, the dichotomous method and so on are used to calculate the numerical analysis.)
PI实现
- 基于改进的PI模型对非线性曲线进行拟合，二次寻优算法进行参数辨识，用逆模型前馈补偿(classical PI modeling)
最小二乘法-梯度下降法-牛顿法
- 用Python3在jupyter notebook实现最小二乘法，梯度下降法和牛顿法(Using Python3 to realize least square method, gradient descent method and Newton method in jupyter notebook)
DeconvolutionCode-LevinEtAl07
- 所附代码提供了上述三种反卷积策略的实现。要开始，用户应该检查文件demo.m。反褶积子程序在以下文件中实现:deconvL2频率.m:在频域反褶积，假设高斯导数在前面。2.deconvL2.m:利用共轭梯度算法，假设在空间域上存在高斯导数先验的反褶积。3.deconvSps.m:利用迭代重加权最小二乘算法，在空间域上假设一个稀疏导数先验的反褶积。(The enclosed code provides the implementation of the above three deconvolut
最小二乘法拟合程序
- 利用Matlab平台，开发最小二乘法，实现对输入数据的准确拟合(Use the Matlab platform to develop the least square method to achieve accurate fitting of the input data)