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多项式最小二乘法
- 多项式最小二乘法 三弯矩插值法 lagrange多项式插值 多项式最小二乘法 龙贝格积分法 分段线性插值 三转角插值 这些是数值分析中常用的集中经典方法，运用matlab展示出来！-least squares polynomial interpolation three Moment Hangzhou polynomial interpolation polynomial least-squares method Long Bagby integration piec
affine
- 基于最小二乘法的仿射变换 matlab实现-Least square method based on the realization of affine transformation matlab
Leastsquaremethod
- 基于非等距节点的正交多项式的最小二乘法拟合算法之程序实现-Nodes based on non-isometric orthogonal polynomial least squares fitting algorithm of the program
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
lwr
- 强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程 -Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For wei
leastsquaresprocedure090513
- 最小二乘法实现m个方程的最高n次多项式的拟合。-least-squares procedure
polynomialfitting
- 最小二乘法解多项式拟合问题的fortran编写的源程序 -Least squares polynomial fitting problem solution prepared fortran source
severalmatlabprocedures0001
- 几个有用的Matlab程序，包括最小二乘法、多项式的交互输入等-several small matlab procedures
curvefitting
- 采用最小二乘法的三次多项式对离散数据点进行曲线拟合 -least-squares approximation curve fitting
a-new-Least-squares-fitting-method
- 本程序是基于非等距节点的正交多项式的最小二乘法拟合算法，该算法已经在vc++6.0下调试通过，经多次验证，本算法的拟合误差较小。-This procedure is based on equidistant nodes of non-orthogonal polynomial least squares fit algorithm, which has been in vc++6.0 through debugging, after repeated verification, the algo
C++实现最小二乘法一元回归和多项式拟合
- C++实现最小二乘法一元回归和多项式拟合(C++ to achieve the least squares method, one-way regression and polynomial fitting)
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.)
正交多项式最小二乘拟合
- 计算给定点列的曲线拟合最小二乘法得到的函数(The function of least square method for curve fitting of fixed point column)
多项式最小二乘拟合与龙贝格积分法
- 通过最小二乘法拟合曲线，并使用龙贝格公式计算积分(By the method of least squares fitting curve, and use the formula to calculate the Romberg integral)
多项式最小二乘法拟合
- 最小二乘法拟合多项式，效果非常好，与MATLAB的多项式拟合基本一样。亲自在STM32板子上跑过，几乎直接出来答案。用法简单，包含头文件然后直接调用即可，电脑或者开发板都可以直接跑。 注意！注意！注意！说三遍...拟合之后多项式的变量x其实是（X-a），a是输入数据点的均值。(The least square method fits the polynomial, and the effect is very good. .)
最小二乘法在商业活动中的应用及其在MATLAB的实现
- 利用基于最小二乘法的多项式拟合算法处理商业数据，包含源码(Using the polynomial fitting algorithm based on the least square method to deal with commercial data, including the source code)
dtrend
- 数字信号预处理，最小二乘法消除多项式趋势项(Elimination of polynomial trend term by least square method)
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.)
LeastSquareDetail
- 非线性阶多项式最小二乘法拟合，逼近数据的临近之(Nonlinear polynomial least squares fitting)
最小二乘法分段直线拟合
- 曲线拟合是图像分析中非常重要的描述符号。最常用的曲线拟合方法是最小二乘法,然而一般的最小二乘法有一定的局限性,已经有不少学者对其进行了一些改进。进一步对最小二乘法进行改进,提出一种新的分段直线拟合算法来代替多项式曲线拟合,以达到简化数学模型的建立和减少计算的目的,使其能够更好地对点序列进行拟合。(Curve fitting is a very important descr iptor in image analysis,the most commonly used curve fitting