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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
Pls_tool-tem.rar
- pls算法工具箱。偏最小二乘回归≈多元线性回归分析＋典型相关分析＋主成分分析 ,pls algorithm toolbox. Partial least-squares regression ≈ multiple linear regression analysis, canonical correlation analysis++ Principal component analysis
ols
- 最小二乘法原理及其MATLAB实现 线性拟合 多项式拟合 非线性拟合程序-Principle and MATLAB least squares linear fitting polynomial fitting nonlinear fitting procedure
shujunihechazhi
- Matlab的数值拟合和插值方法介绍，内有程序说明和算法介绍。主要对最小二乘，线性回归作了介绍-Matlab Numerical fitting and interpolation methods introduce, within the descr iption of the procedures and algorithms have introduction. Mainly on the least-squares, linear regression was introduced by
RegrToolbox
- 基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。-Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modelin
leastsquare
- 此代码通过matlab实现最小二乘回归线性模型参数功能-least square
zexc
- matlab实现线性最小二乘，本人调试终于成功！代码得到极大地优化-Linear least squares matlab, debug, I finally succeeded! Code has been greatly optimized! ! !
nmm105
- 线性方程组，非线性方程组，最小二乘拟合等数值算法的matlab实现。-Linear equations, nonlinear equations, numerical algorithm such as least-squares fitting of the realization of matlab.
linearposition
- GPS线性最小二乘定位算法matlab仿真-Least-squares algorithm for GPS positioning matlab simulation
4
- MATLAB程序， 半参数线性回归模型的最小二乘核估计 半参数线性回归模型的最小二乘正交序列估计。-MATLAB program, semi-parametric linear regression model of least squares kernel estimation Semiparametric least squares linear regression model orthogonal sequence estimation.
lzxec
- matlab中编程实现的线性最小二乘拟合函数： lzxec:功能：离散试验数据点的线性最小二乘拟合-matlab programming in a linear least-squares fitting function: lzxec: Function: discrete experimental data points, the linear least-squares fitting
MultiwayPLS
- 一个很好的基于matlab的pls工具箱，可以进多线性数据的的主成分分析，偏最小二乘回归等。-A good toolbox based on matlab' s pls, can enter the data more linear principal component analysis, partial least squares regression.
fuction
- matlab 最小二乘线性回归 递推法 源码，解决线性回归中的病态方程问题-recursive least squares linear regression method matlab source code, solve the equation of linear regression of pathological problems
stepwise
- 最小二乘法多元线性回归的matlab实现-Least squares linear regression of the matlab implementation
5
- Chebyshev 用切比雪夫多项式逼近已知函数 Legendre 用勒让德多项式逼近已知函数 Pade 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 FZZ 用傅立叶级数逼近已知的连续周期函数 DFF 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
The-least-squares-estimate
- 1线性最小二乘估计 2线性最小二乘加权估计 3线性最小二乘递推估计 4单参量的线性最小二乘估计 -The least squares estimate
作业
- 用来最小二乘的，线性化非线性函数的，谁有谁知道好(For the least squares, linearization of nonlinear functions, who knows who is good)
linear_regression
- 线性回归是利用称为线性回归方程的最小二乘函数对一个或多个自变量和因变量之间关系进行建模的一种回归分析(Linear regression is a regression analysis based on the least squares function of linear regression equation, which is used to model the relationship between one or more independent variables and dep
lsqrSOL
- 求解大型稀疏线性方程和线性最小二乘问题的LSQR算法(The software for lsqrSOL is provided by SOL, Stanford University under the terms of the OSI Common Public License (CPL))
zuixiaoercheng
- 两种对二阶系统进行参数辨识的最小二乘算法，一种可以直接得到输入输出之间的传递函数，一种可以解出线性的差分方程各系数，再反解得到传递函数。附带的一个二阶系统的模型，可以自行下载导入输入输出数据进行试验。(Two kinds of least square algorithm for parameter identification of second-order system, one can directly get the transfer function between input and