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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
vvnh
- matlab线性拟合程序，和大家一起分享交流，一起学习-Matlab linear fitting procedures, and sharing together, learning together
linear304
- 用matlab编写的，处理非线性问题的线性拟合源程序
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
MATlAB_non_linear_fitting
- 用matlab实现对已知数据的非线性拟合及数据预测-Using matlab implementation of the known non-linear fitting of data and data prediction
matlab
- 这是一些关于MATLAB的小程序，有曲线拟合的，利用线性网络进行线性预测，正交实验设计及其实验结果的极差分析等，希望对大家能带来帮助！-This is a small number of MATLAB procedures, there is curve fitting, and linear networks using linear prediction, orthogonal experimental design and experimental results of range ana
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.
curvefitting
- MATLAB在曲线拟合中的应用，主要有一元线性回归 ，多元线性回归，曲线回归等-Curve fitting in MATLAB application, there are multi-linear regression linear regression, curvilinear regression, etc.
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
piecewise_linear_fitting
- 对两组离散数据进行分段线性拟合,并显示拟合结果-piecewise linear fitting of two sets of discrete data
lsRegression
- 线性拟合源代码，利用偏微分求导的方法进行多元的线性拟合-Linear fitting source code
matlab插值与数据拟合
- 使用matlab的插值与数据拟合，含有插值原理，方程，插值方法有：拉格朗日多项式插值，分段线性插值，三次样条插值，最小二乘法，有多个实例（有源码、语句、结果、图像等）
P1-1
- 可以根据数据进行拟合，得出数据的拟合曲线(The data can be fitted according to the data and the fitting curve of the data is obtained)
MATLAB实现线性拟合和相关系数 源程序代码
- Matlab源程序：可以实现线性拟合相关系数(Matlab source: linear correlation coefficient can be achieved)
SEIV_HJ
- PEIV拟合,不说什么了，用到的人自然知道(PEIV fitting, do not say anything, the people used to know)
nihe
- matlab程序，对离散点使用最小二乘法法进行数值拟合，求均值(Least square linear fitting)
第8章 数据拟合
- 数据拟合，回归算法，一次回归，多次回归，线性拟合，非线性拟合(Data fitting, regression algorithm, primary regression, multiple regression, linear fitting, nonlinear fitting)
实验2
- 最小二乘法详细程序实现。曲线拟合。 1.直线型 2.多项式型 3.分数函数型 4.指数函数型 5.对数线性型 6.高斯函数型(The principle of least square method, formula deduction, program realization.)
拟合
- 偏微分方程，双曲型椭圆形线性拟合微分方程，泊松方程
Guassian_Fitting_Function_curve
- 此matlab代码利用求解线性方程组的方法，实现了高斯二维曲面拟合（附数学原理PDF文档）(This matlab code use the method of solving linear equations to achieve gaussian two-dimensional surface fitting)