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最小二乘曲线拟合
- 用C++编写最小二乘曲线拟合函数程序-prepared least squares curve fitting procedures Function
曲线拟合
- 曲线拟合算法,JAVA编写,VJ#编译,提供交互式界面,并有多种拟合方式比较-curve fitting algorithms, Java prepared, VJ # compiler, interactive interface, and a variety of more fitting way
切比雪夫曲线拟合
- 切比雪夫曲线拟合,采用C语言编译实现,一般4,5阶曲线可实现较好的拟合效果-Chebyshev curve fitting using C language compiler achieved, the general 4,5 bands curves can be fitted to achieve better results
曲线拟合
- 本程序是基于LABWINDOWS开发的,主要是实现数据拟合这一功能。-This procedure is based on the development of LABWINDOWS is mainly the function of data fitting.
案例三 多项式和非多项式曲线拟合
- MATLAB经典案例系列视频,多项式和非多项式曲线拟合(MATLAB classic case series video, polynomial and non polynomial curve fitting)
最小二乘曲线拟合
- 可用于有误差的数据的处理,更好的拟合数据(Can be used for data processing)
3次B样条曲线拟合
- 离散点曲线 进行3次B样条曲线拟合 包括节点参数化过程 基函数计算过程 控制点反求过程 到最后拟合曲线的显示(The discrete point curve is fitted with 3 B spline curves, including the node parameterization process, the basis function calculation process, the control point inversion process, and the final
最小二乘法拟合曲线C语言代码
- 用最下二乘法多项式进行曲线拟合进而插值。(With the least two multiplicative polynomial for curve fitting, and then interpolation.)
最小二乘法曲线拟合
- 最小二乘拟合曲线,知道离散点后可以更好的获得其对于曲线的拟合(Least square fitting curve)
曲线拟合
- 曲线拟合:通过给定的一组二维坐标点,利用线性代数中矩阵求逆的知识,从这些数据中找出规律性,预测原函数f(x)的表达式,以消除所给数据的局部波动。一次拟合出来的函数图像是直线,二次拟合出来的图像是抛物线。两者相比,二次拟合逼近程度更高。(curve fitting through a given set of two-dimensional coordinates, using the inverse matrix in linear algebra knowledge, find out the
曲线拟合
- 可以根据需要进行曲线拟合,数据需要自己输入(Curve fitting can be done according to the needs)
拟合
- 多个函数的曲线拟合,里面统计有最小二乘、非线性回归(Curve fitting for multiple functions)
遗传算法+数据传递机制+多项式和非多项式曲线拟合
- 多项式和非多项式曲线拟合;数据传递机制;遗传算法(Polynomial and non polynomial curve fitting and Data transfer mechanism)
最小二乘法曲线拟合
- 最小二乘法曲线拟合,基于C语言编写的算法(Least squares curve fitting algorithm based on C language)
数据拟合
- 数据拟合:一元函数插值、样条插值、多项式插值或拟合、曲线拟合、各种边界条件的样条插值、样条拟合、二元函数插值、拉格朗日插值法(Data fitting: interpolation of unary functions, spline interpolation, polynomial interpolation or fitting, curve fitting, spline interpolation of various boundary conditions, spline fitti
曲线拟合
- 找出一大串数据,用一个函数进行逼近,或者拟合。使其误差尽可能小(Find a bunch of data, approximate it with a function, or fit it.Make the error as small as possible)
曲线拟合
- 最小二乘法实现曲线拟合,返回拟合多项式系数(Least Squares Method for Curve Fitting)
多项式和非多项式曲线拟合
- 多项式拟合在matlab中可以使用ployfit函数求解多项式系数,通过ployval函数求解拟合多项式在某数据点处的值(Polynomial and Non-polynomial Curve Fitting)
数据拟合
- 利用MATLAB进行数据拟合,常见的数据拟合方法。包括:一元函数插值、样条插值、多项式插值或拟合 、曲线拟合、拉格朗日插值法等。(MATLAB data fitting, common data fitting methods. It includes: interpolation of unitary function, spline interpolation, polynomial interpolation or fitting, curve fitting, Lagrange inte
labview拟合
- labview的曲线拟合,包括线性拟合,多项式拟合,有输入有输出(Curve fitting of LabVIEW, including linear fitting, polynomial fitting, with input and output)