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segmentation
- 基于多尺度双变量多项式曲面拟合方程的图像表面分割算法的C++源码实现
求解方程
- 最小二乘法拟合，有多种解法
suanfa
- 用vc++写的常用的一些数值算法，包括最常用的插值、拟合，以及解方程等等。-With vc++ Write some commonly used numerical algorithms, including the most commonly used interpolation, fitting, and the solution of equations and so on.
numericalanalysis
- 数值分析与计算的PPT幻灯片与MAT源码，含数值插值逼近拟合积分及方程求解-Numerical Analysis and Calculation of the PPT slides and MAT source, close fitting with numerical integration and interpolation equation and so on
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
zernikefun
- 由离散数据点进行曲面拟合，得到曲面方程，通过光路追迹计算波像差-Discrete data points from the surface fitting, curve equation obtained by tracing calculation of optical aberration
MATLAB6.0
- 该电子书是用MATLAB语言对数值分析进行描述的。例如：矩阵运算，矩阵分解，微分方程求解，函数插值，函数拟合等数值问题。另外对MATLAB绘图进行了一定的介绍。-The book is a numerical analysis using MATLAB language to describe. For example: matrix operations, matrix decomposition, differential equation solving, function interpo
polyorder
- 最小二乘拟合，求多项式系数，包括建立误差方程、误差方程法化，迭代求解-Least squares fitting of a polynomial coefficient, including the establishment of error equation, the error equation, iterative solving
resADLSM
- 采用广义特征值的方法对一般椭圆方程进行代数拟合求得一般椭圆方程的几何参数-Method using the generalized eigenvalue equation for general elliptic algebra obtained by fitting the geometric parameters of the general elliptic equation
file
- 最小二乘法曲线拟合，改变拟合次数，即可得到所需的拟合曲线方程-Least squares curve fitting, fitting to change the number, you can get the necessary fitting curve equation
四阶龙格库塔法解振荡方程VC++实现及画图
- 四阶龙格库塔法解振荡方程VC++实现及画图，一般使用VB编写不能画图，此程序经过改进能很好拟合。
xianxinhuiguifangchengniheyuguji
- 线性回归方程拟合与估计 求误差方差的无偏估计 检验回归效果是否显著(Linear regression equation fitting and estimation)
NH
- 用最小二乘法拟合二元多次曲线 已知点的x坐标集合 已知点的y坐标集合 已知点的个数方程的最高次 二元多次线性方程拟合曲线(Fitting two yuan multiple curves with least square method X coordinate set of known points Y coordinate set of known points The highest degree of the equation of the number of known points
exam2
- 数据处理，可以将离散的数据进行拟合处理，得到多项式方程(In data processing, discrete data can be fitted and polynomial equations can be obtained)
B
- 根据初始参数及相关数据拟合出非线性曲线，从激光器的热稳速方程出发，结合数据，优化参数(According to the initial parameters and related data to fit out the nonlinear curve)
fitting
- 点拟合平面,能够根据输入的点拟合平面，进而求出平面方程、法向量。(plane fitting for Matlab)
ellipse
- 使用matlab编程，用椭圆方程拟合非线性方程，以最小二乘法辨识。(Matlab programming, the elliptic equation fitting nonlinear equation, with least square identification.)
MATLAB 求最小二乘法系数
- 用MATLAB进行三次曲线的拟合，并运用最小二乘法求各个系数，得出曲线方程(The three curves are fitted with MATLAB, and the coefficients are obtained by using the least square method, and the curve equation is obtained.)
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
SEIR
- 一般的线性方程我们可以用最小二乘来解，一般的非线性方程我们可以用LM来解。 这里是线性微分方程组，所以我们采用最小二乘来解。 关键是构造出最小二乘形式，微分可以通过前后数据差分的方法来求。 不过这里还有一个技巧就是如果数据前后帧间隔过大，可以先插值，再对插值后的数据差分如果实际测量数据抖动过大导致插值后差分明显不能反映实际情况，可以先对数据平滑（拟合或是平均）再求差分。(We can use least squares to solve general linear equat