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优化了的过关键点的光滑曲线拟合算法
- 该程序是离散点平滑程序,可实现对一组有序离散数据进行闭合和不闭合情况的情况.-that the procedure was discrete points smoothing procedures, to be able to achieve an orderly group discrete data for closure and closure of the situation.
椭圆拟合算法c++程序
- 将离散数据进行椭圆拟合的c++源代码
Matlab曲线拟合 最小二乘法 polyfit
- 已知离散点上的数据集 ,即已知在点集 上的函数值 ,构造一个解析函数(其图形为一曲线)使 在原离散点 上尽可能接近给定的 值,这一过程称为曲线拟合。最常用的曲线拟合方法是最小二乘法,该方法是寻找函数 使得最小
zxecface.rar
- 一组空间离散点数据,利用最小二乘法拟合出一平面,point surface
polyfit2d.rar
- 根据已知的三维离散数据(x,y,z),在MATLAB中利用此函数进行三维曲面拟合,再根据polyval2d得出拟合函数的系数矩阵。,according to 3D discrete datum (x,y,z),use this function in MATLAB to fit 3D surface, and use polyval2d to get coefficient matrix
Ellipsefitting
- 已知离散的坐标数据,利用这些坐标点进行椭圆拟合的程序-Known coordinates of discrete data points to use these coordinates ellipse fitting procedure
multifit
- 功能:离散试验数据点的多项式曲线拟合 调用格式:A=multifit(x,y,m) 其中:x: 试验数据点的x坐标向量 Y: 试验数据点的y坐标向量 m: 拟合多项式的次数 -Functions: discrete experimental data points, the polynomial curve fitting call format: A = multifit (x, y, m) where: x: experimental data points, x
NiHe
- 一个具有良好操作界面的离散数据拟合软件源码-A good user interface discrete data fitting software source
matlabfitellipsecode
- 对离散数据运用最小二乘法进行椭圆拟合,运行过了觉得还不错就上传了。-Discrete data on the use of least squares method for ellipse fitting, run over a feel good on the uploaded.
chazhiyunihe
- 插值函数, 称为被插函数. 最小二乘拟合: 已知一批离散的数据 , 互不相同,寻求一个拟合函数 ,使 与 的误差平方和在最小二乘意义下最小.在最小二乘意义下确定的 称为最小二乘拟合函数-Interpolation function, referred to as interpolation function. Least-squares fitting: a known number of discrete data, different from each other, to find a f
MATLAB
- 这是一个MATLAB中文工具箱,提供了很多有用的,MATLAB自身没有的数学建模的源码,例如:数据拟合,微积分和微分方程,随机模拟和统计分析,数学规划,离散优化等,并有中文的注释。非常好!-This is a MATLAB toolbox Chinese, providing a lot of useful, MATLAB does not own the source of mathematical modeling, such as: data fitting, calculus and d
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
LeastQuadraticFiter
- 基于最小二乘法对离散的数据点进行直线拟合,能够最大程度的实现总误差的最小化-Least squares method based on discrete data points on the straight line fitting, to the greatest degree of implementation to minimize the total error
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
插值法
- 对大量离散数据,拟合出一条曲线,用插值法对其进行处理(For a large number of discrete data, a curve is fitted, and the interpolation method is used to process it)
zhishunihe
- 对两组离散型数据分别进行指数拟合,并画出拟合曲线(包含数据举例)(Two groups of discrete data were fitted by exponential method)
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)
直角坐标系-zernike多项式波面拟合程序
- 最小二乘法进行泽尼克多项式拟合将离散数据点拟合成面型。(use the least square method to fit the wavefornt with zernike polynomials.)
polyfit
- polyfit函数是matlab中用于进行曲线拟合的一个函数。其数学基础是最小二乘法曲线拟合原理。曲线拟合:已知离散点上的数据集,即已知在点集上的函数值,构造一个解析函数(其图形为一曲线)使在原离散点上尽可能接近给定的值。(The polyfit function is a function used in curve fitting in matlab. Its mathematical basis is the principle of least-squares curve fitting
某高层振型离散数据拟合
- 通过非线性最小二乘法拟合某高层的振型离散数据,以连续性函数表示。