搜索资源列表
curvefit_C_edition
- c语言版的多项式曲线拟合。 用最小二乘法进行曲线拟合. 用p－1 次多项式进行拟合，p<= 10 x,y 的第0个域x[0],y[0],没有用，有效数据从x[1],y[1] 开始 nNodeNum,有效数据节点的个数。 b,为输出的多项式系数，b[i] 为b[i-1]次项。b[0],没有用。 b,有10个元素ok。-c language version of the polynomial curve fitting. Using least-squares met
2x
- 利用最小二乘法进行曲线的拟合,这是用多项式拟合曲线的源码!-using the least-squares method of curve fitting, which is the polynomial curve fitting source!
polyfit
- 曲线拟合程序 多项式相关系数的计算方法(多项式形式1) 多项式相关系数的计算方法(多项式形式2) 最小二乘法曲线拟合 三次样条插值（自然边界条件）-polynomial curve fitting procedures correlation coefficient is calculated (the form of a polynomial) polynomial coefficient of correlation Methods (polynomial form 2
PolyFitSingle
- //=== === === === === === === = //函数说明 //函数名称：PolyFit //函数功能：最小二乘法曲线拟合 //使用方法：double *x ---- 存放n个数据点的X坐标 // double *y ---- 存放n个数据点的Y坐标 // int n -------- 给定数据点个数 // double *a ---- 返回m-1次拟合多项式的m个系数 // int m -------- 拟合多项式的项数，即拟合多项式的
Legendre
- Legendre正交多项式拟合,可对任意曲线进行拟合-Legendre polynomial fitting, right arbitrary curve fitting
curve_drawup
- 用最小二乘法来解决曲线拟合问题。程序具有可扩展性，即拟合点与多项式拟合曲线（的次数）都作为程序的输入。-using the method of least squares curve fitting to solve the problem. Procedures can be expanded, that is fitting point polynomial curve fitting with the (number of) procedures are as input.
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
grm
- 多项式曲线拟合C++Templete实现-Polynomial curve fitting C++ Templete achieve
PolyFit
- 任意阶的多项式曲线拟合方程，附三角maxtix分解-polynomial curve fitting, and triangularity decomposition(LU decmposition)
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
calculation
- 典型数值计算方法。包括：经典四阶龙格库塔法、高斯列主元法、牛顿法、龙贝格、三次样条插值算法、M次多项式曲线拟合、二分法、不动点法、霍纳法、牛顿-拉弗森迭代等十项典型算法的算法流程及C源代码和例子。-Typical numerical calculation. Include: classical fourth order Runge-Kutta method, Gauss main-element method, Newton method, Romberg, cubic spline inte
Curve-fitting-algorithm
- 用最小二乘法，在已知函数点x0，x1……xn的函数值y0，y1……yn的情况下，求拟合多项式-The least square method, the known function points x0, x1 ... ... xn of the function values y0, y1 ... ... yn circumstances, find fitting polynomial
Polynomial-fitting-
- 时间序列的最小二乘多项式拟合，并且绘制观测数据离散点图和多项式曲线.-Least squares polynomial fitting of time series, and draw the observational data from the scatter plots and polynomial curve.
CurFit-Dichotomy
- VS2010环境，C++代码实现的：最小二乘法的多项式曲线拟合，二分法与牛顿法求多项式的解。代码清晰，可简单修改使用。经自己测试正确。-VS2010 environment, C++ code to achieve: the method of least squares polynomial curve fitting, the dichotomy Newton method for the solution of the polynomial. The code is clear and s
LeastSquare
- N次多项式曲线拟合，有界面，可随时设置多项式阶次。-N order polynomial curve fitting, the interface can be set at any time polynomial times.
PolyFit.java
- Polynomial curve fitting polyfit from MatLab in Java Applet for demo
Curve_fitting
- 对平面上给定的多点进行多项式曲线的拟合，可设置拟合多项式的次数-Given more points on the plane polynomial curve fitting, you can set the number of polynomial fitting
polynomial-fitting
- 基于BCB的最小二乘法进项曲线拟合，最后得出多项式方程，并显示出图形-Method of least squares curve fitting proceeds
多项式拟合的光伏电池阵列模拟器研究与设计
- 设置最大拟合误差和拟合模型实现对一组数据的拟合，克服了人工分段造成的主观误差(The maximum fitting error and fitting model are set up to fit a set of data, and the subjective error caused by artificial segmentation is overcome.)
PolynomialCurveFitting
- 基于python的多项式曲线拟合，本程序以1 3 5 9次为例子。(Based on the polynomial curve fitting of python, this program takes 1 3 5 9 times as an example.)