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- 最小二乘法曲线拟合,你们懂得,我嘛就不多说啦,-cuver fitting
NH
- 曲线拟合 matlab 毕业设计常用-use matlab curve fitting
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
MATALAB三维曲线拟合
- MATALAB三维曲线拟合很好的曲线拟合可以添加自己的注解
最小二乘曲线拟合
- 这是一份最小二乘曲线拟合的matlab代码,希望对有需要的人有帮助!!
最小二乘法多次曲线拟合
- 因本人项目用到最小二乘法多次曲线拟合,便抽时间写了一个实现的程序,不敢独享,
Chebyshev Curve Fitting
- 切比雪夫曲线拟合 Fortran code(Chebyshev Curve Fitting)
不同阶次多项式模型拟合曲线
- 该代码可以画出不同阶次多项式模型的拟合曲线(Model fitting of different order polynomial)
皮3曲线
- 用于水文行业中常用的 降雨径流拟合,计算水文频率分析(Used for rainfall runoff fitting in hydrology industry)
MATLAB_work
- 根据EXCEL中的数据进行曲线拟合,绘制多条曲线(According to the data in EXCEL curve fitting, drawing a number of curves)
Guess
- 用m语言绘出高斯分布,并以GMM模型的简单例子来进行非曲线拟合。(The Gauss distribution is drawn in M language, and a simple example of the GMM model is used to do the non curve fitting.)
tt
- 本程序借助matlab软件平台,可以进行对数曲线拟合(This procedure for logarithmic curve fitting)
Polynomial_Fitting
- 利用matlab用最基础的语法编写曲线拟合的程序(Using MATLAB to write curve fitting program with the most basic grammar)
拟合曲线
- 鼠标点击任意两点,两点之间进行直线拟合,继续点击,增加点的数目,多点之间进行多次插值拟合(Mouse click any two points, between two points to a straight line fitting, continue to click, increase the number of points, multiple points between multiple interpolation fitting)
三次样条曲线拟和
- 三次样条曲线拟合类,可用于样条插值、拟合、预测等算法场合。(The Cubic Spline Interpolation class can be used for spline interpolation, fitting, prediction and other algorithms.)
Ipopt
- 最小二乘法曲线拟合,最小二乘法,曲线拟合(Least squares curve fitting)
最小二乘拟合的两种求参方法
- 最小二乘拟合曲线;系统建模与辨识课程中所用到的两个最基础的程序(Least squares fitting curve,The two most basic programs used in the system modeling and identification course)
遗传算法--二元二次方程曲线拟合
- 基于遗传算法进行非线性曲线拟合,采用高斯变异,数组堆栈(fitted curve by genetic algorithm)
Language
- 程序实现线性插值、抛物插值、牛顿多项式插值、等距节点插值、最小二乘法的曲线拟合对函数进行近似(The function is approximated by linear interpolation, parabolic interpolation, Newton polynomial interpolation, equidistant node interpolation, and least square curve fitting.)
nihe
- [1] 对 sin2pix进行在x=0进行泰勒展开 [2] 曲线拟合 python(curve fitting Taylor expansion sin(2pix))