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二次曲线拟合---最小二乘法
- 最小二乘法拟合，其中应用了列主元高斯消去法处理矩阵
最小二乘法多次曲线拟合算法
- 最小二乘法多次曲线拟合算法-Multi-times Least squares algorithm curve fitting
最小二乘法多次曲线拟合
- 最小二乘法多次曲线拟合-least squares curve fitting time
实验2-插值与拟合
- 1、掌握用MATLAB计算拉格朗日、分段线性、三次样条三种插值的方法，改变节点的数目，对三种插值结果进行初步分析。 2、掌握用MATLAB作线性最小二乘的方法。 3、通过实例学习如何用插值方法与拟合方法解决实际问题，注意二者的联系和区别。-1. Grasp by matlab calculating Lagrange, segement linear, 3rd order spline these 3 interpolation met
nihe
- 计算方法-二次拟合曲线-物质浓度 适合一般大学2年级学生学习或编程练习用。-calculation- quadratic curve-concentration material suitable for general university two-year students learning or practicing with programming.
InterFit
- 本程序是有关数学中常用的插值和拟合的问题，其中包括拉格朗日整体，拉格朗日局部，二点三次插值，可调点数插值，复杂多项插值， 一次曲线拟合，二次曲线拟合，三次曲线拟合，四次曲线拟合，五次曲线拟合。-this procedure is commonly used mathematical interpolation and fitting problems, including Lagrange overall, Local Lagran
calypoly
- 可以完成2－20次的最小二乘拟合运算，精度与MATLAB做过对比，满足一般工业运算需求-2-20 times to complete the least-squares fitting calculations, the accuracy compared with the MATLAB done to meet the demand for general industrial operations
shemit
- 线性拟合和二次拟合函数 pdg正交多项式作最小二乘拟合
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- 最小二乘法实现的曲线拟合二次曲线的c++源码-Least squares method of curve fitting realize Conics c++ Source
2
- 通过最小二乘法 实现2次曲线拟合，利用工程数学解二次函数 的各系数，然后画出曲线图像-Through the least squares curve fitting 2nd realize the use of engineering mathematics solution of a quadratic function of the coefficient, and then draw the image curve
BP
- BP神经网络做曲线拟合，BP网络应用于曲线二次拟合-BP neural network to do curve fitting, BP network used in curve fitting quadratic
chazhi
- 二次拟合曲线插值计算 三 次样条曲线插值计算-Quadratic curve fitting curve interpolation calculation of the three interpolation calculation of cubic spline curve interpolation calculation
Fitting_quadratic_interpolation_procedure
- 二次拟合插值程序_VB,根据 提供的10个 数据点的坐标（ ， ， ）和待求点 的坐标，要求利用移动 二次曲线的拟合法，由格网点P（ ， ）周围的10个已知点内插求出待求点格网点P的高程，编制相应的程序并进行调试，最后解算出格网点P的高程。 -Fitting quadratic interpolation procedure _VB, according to data provided by 10 points, the co
twice_nihe
- 对已知房价数据做二次拟合，从而得出曲线方程，对做未来房价的粗略预测-Known to do on the secondary price data fitting curve equation to obtain, so the future price of crude forecast
pp1
- 一个二次多项式曲线拟合算法，功能一般够用了，看明白算法原理应该就可以了-A quadratic polynomial curve fitting algorithm, function normally good enough, look to be able to understand the principle of the algorithm
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 r
Gaussianfit2D
- 高斯二维拟合 最小二乘多次拟合(Gauss, two-dimensional fitting, least squares, multiple fitting)
灰色预测
- 灰色模型预测是在数据不呈现一定规律下可以采取的一种建模和预测方法，其预测数据与原始数据存在一定的规律相似性 下面程序是灰色模型GM(1,1)程序二次拟合和等维新陈代谢改进预测程序,matlab6.5 ,使用本程序请注明，程序存储为gm1.m(Gray model prediction is a kind of modeling and forecasting method which can be taken under certai
散落点数据拟合拟合及其优化
- 可以二次三次四次函数拟合，并进行优化方法介绍，达到高度拟合。(Can be two times, three times, four times function fitting, and optimization, to achieve height fitting.)
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 a