Description: //=== === === === === === =====
//函数说明
//函数名称：Correlation
//函数功能：计算最小二乘法拟合的多项式的相关系数
//使用方法：int M------ 拟合多项式的阶数（已知条件）
// double *b--- 拟合曲线的系数,排列顺序为由高阶到低阶（已知条件）
// double *x--- 结点x轴数据（已知条件）
// double *y--- 结点y轴数据（已知条件）
// double *Yg-- 结点估计值，个数为m（过程变量）
// int m------ 结点个数（已知条件）
//注意事项：多项式阶数最高为10,多项式的形式为 y = a0 + a1x +a2x2
-//=== === === === === ==== === === === === === === =// letter Description// function name : Correlation// Function functions : Calculation least squares polynomial fitting of the correlation coefficient// Use : int M------ polynomial fitting stage (known condition)//* b--- double fitting song The coefficient, Higher-order the order on grounds of low order (known condition)//* double-node x x axis data (known to be pieces)// double* y--- node y-axis data (known condition)//* double FSL-- Nodes estimates, Number m (process variables)// int m------ node number (known condition)// Note : polynomial order of a maximum of 10. polynomials in the form of y = a0 a1x a2x2 //==================== ======================================== Platform: |
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Author:石林 |
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Description: 多项式二次曲线拟合程序！用于实验设计！另有画图函数并且可以进行方差分析1-quadratic polynomial curve fitting procedures. For the experimental design! Another drawing functions can be carried out an analysis of variance Platform: |
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Description: 用离散正交多项式求三次拟合多项式[MATLAB版本]，希望对大家有帮助-Discrete orthogonal polynomials for three polynomial fitting [MATLAB version], in the hope that everyone has to help Platform: |
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Author:cici |
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Description: 1) 已知x=[1:15], y=[12 34 56 78 99 123 165 198 243 277 353 345 303 288 275], 用多项式进行拟合，给出拟合多项式，(所选拟合多项式阶数不同，拟合结果不同，请你选择适当的阶数进行拟合)，并绘出原始数据点、拟合曲线和95％置信区间（confidence bounds）的图形
.
2) 根据下面数学模型建立仿真模型，并在一个示波器中把它们的波形仿真出来。
-1) are known to x = [1:15], y = [12 34 56 78 99 123 165 198 243 277 353 345 303 288 275], with polynomial fitting, given the polynomial fitting, (the election order polynomial fitting different fitting results to differ, please select the appropriate order of fit), and draw original data points, fitting curve and 95 confidence interval (confidence bounds) graphics .2 ) In accordance with the following mathematical model for the establishment of simulation model, and in an oscilloscope waveform in their simulation out. Platform: |
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Author:wangshujuan |
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Description: 利用 matlab的GUI 环境编写 多项式曲线拟合程序，及其界面，由于参数的输入是实时的、拟合过程可以实时显示，因而使用非常方便。-Using matlab GUI to prepare the environment polynomial curve fitting procedures, and its interface, as input parameters in real time, the fitting process can be real-time display, which is very convenient to use. Platform: |
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Author:王力 |
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Description: 这个帖子中我想讨论的是移动窗口多项式最小二乘拟和平滑方法，粗糙惩罚方法，以及kernel平滑方法。-Posts in this discussion I think are moving window least squares polynomial fitting smoothing method, crude methods of punishment, as well as the kernel smoothing method. Platform: |
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Author:linyuan |
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Description: MATLAB 数学手册复合版内容详尽 包括矩阵及其基本运算，特征值与二次型数值计算与数据分析 插值、拟合与查表 常微分方程数值解偏微分方程的数值解 符号运算积分变换Taylor级数 概率统计 随机数的产生 随机变量的概率密度计算 随机变量的累积概率值(分布函数值)正整数的频率表 4.6.2 经验累积分布函数图形 最小二乘拟合直线
绘制正态分布概率图形
绘制威布尔(Weibull)概率图形
样本数据的盒图
给当前图形加一条参考线
在当前图形中加入一条多项式曲线
样本的概率图 附加有正态密度曲线的直方图在指定的界线之间画正态密度曲 假设检验 方差分析 foptions函数 非线性规划问题 隶属函数 模糊推理结构FIS 绘图与图形处理 含有基本实例代码
-MATLAB math composite version of the manual includes a detailed matrix and the basic computing, quadratic eigenvalue with numerical analysis and data interpolation, fitting with the look-up table the numerical solution of ordinary differential equations numerical solution of partial differential equations symbols computing integral transforms Taylor class the number of probability and statistics of the generated random number of random variables the probability density of random variable cumulative probability values (distribution function value) positive integer frequency table 4.6.2 graphical experience distribution function least-squares fitting a straight line
Normal probability graph drawing
Drawing Weibull (Weibull) probability graph
Sample data box diagram
To add a reference to the current graphics line
In the current graph by adding a polynomial curve
Additional samples have the probability map is the histogram density of states curve at the specified Platform: |
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Author:小李 |
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Description: 基于MATLAB的组合模型
在港口吞吐量预测中的应用
以某港1998--2007年集装箱吞吐量为实测数据，建立其集装箱吞吐量的灰色理论、三次指数平滑、三次多项式
等预测模型，在MATLAB下，对比该港集装箱吞吐量各模型预测拟合值与实际值的差异。分析了差异产生的原因及其单一预
测模型的局限性，提出了港口集装箱吞吐量组合预测法。其预测误差明显低于其它单模型。运用组合预测模型．可以降低误
差。提高预测精度。-A combination of MATLAB-based model in port throughput prediction of a Hong Kong 1998- 2007 container throughput for the measured data, the establishment of its container throughput of the gray theory, the three exponential smoothing, prediction models, such as cubic polynomial in MATLAB, the contrast of the Hong Kong container throughput of fitting the models to predict the value of the difference between the actual value. Analysis of the causes of differences and the limitations of a single prediction model, the combination of port container throughput prediction. Its prediction error was significantly lower than other single model. The use of combination forecasting model. Can reduce the error. Improve the prediction accuracy. Platform: |
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Description: 波面的zernike多项式拟合，在光学测试领域应用相当广泛-Wave surface zernike polynomial fitting, in the field of application of a wide range of optical test Platform: |
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Author:zsz3961 |
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Description: Matlab 程序： 解决了Gram-Schmidt正交化方法，次方程法可以用于求解Zernike 多项式的波面拟合系数！-Matlab program: Solving the Gram-Schmidt orthogonalization method, sub-equation method can be used to solve the wavefront Zernike polynomial fitting coefficients! Platform: |
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Author:cao ya |
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Description: matlab实验 用给定的多项式，y=x3-6x2+5x-3，产生一组数据(xi,yi，i=1,2,…,n),再在yi上添加随机干扰(可用rand产生(0,1)均匀分布随机数,或用rands产生N(0,1)分布随机数)，然后用xi和添加了随机干扰的yi作的3次多项式拟合，与原系数比较。
如果作2或4次多项式拟合，结果如何？
-matlab experiment with a given polynomial, y = x3-6x2+5 x-3, generated a set of data (xi, yi, i = 1,2, ..., n), then add random noise in yi (available rand generation (0,1) uniformly distributed random number, or rands generated N (0,1) random numbers), then xi and yi to add a random disturbance polynomial fitting for the three times, compared with the original coefficient . If 2 or 4 times for polynomial fitting, the result? Platform: |
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Description: 在matlab中使用牛顿插值完成对多项式插值的拟合-Using Newton' s interpolation in matlab to complete the fitting of polynomial interpolation Platform: |
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Description: 此代码是在matlab下开发，适应于GPS高程拟合，只需加载相关数据，方便好用-This code is developed in matlab to adapt in the fitting of GPS Elevation, just load the relevant data, easy-to-use Platform: |
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Description: 多项式拟合函数，用于给定数据点的多项式拟合，区别于matlab内置的函数polyfit,但效果差别不大。-A simple way of polynomial fitting to given points ,which is different from polyfit function but with no much different in result . Platform: |
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Description: 多项式拟合的，基于徐士良的程序，例子中是以书中的例子，自己改编为f90，当然输入可以从文件中，希望可以对大家有帮助，此外大家应该注意这个拟合出来的多项式和matlab的系数有差别具体看原理-Polynomial fitting, XU Shi-liang of the program, for example, is based on the examples in the book, adapted for f90, of course, from the input file, hope that we can all help, in addition we should note that this fitting out multi-coefficient of the polynomial and matlab a difference to look at specific principle Platform: |
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Description: polynomial in matlab. it s a tutorial for matlab command to work with polynomial such as add , subtract , multiply or fitting curve . Platform: |
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Author:majid |
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Description: 多项式和非多项式曲线拟合，多项式拟合在matlab中可以使用polyfit函数求解多项式系数，通过polyval函数求解拟合多项式在某数据点处的值-Polynomial and non-polynomial curve fitting, polynomial fitting in matlab polyfit function can be used to solve polynomial coefficients, solve the value of a data point to fit a polynomial function by polyval Platform: |
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Description: MATLAB在工程领域应用日益广泛。本文简要介绍了MATLAB在汽车动力传动系匹配计算中
的数据输入方法、插值计算功能、多项式拟合以及强大的绘图功能。最后以万有特性— — 阻力矩图的计算绘制
综合说明。-MATLAB is widely used in the field of engineering. This paper briefly introduces the MATLAB in the automobile power transmission system matching calculation.
Data input method, interpolation calculation function, polynomial fitting and powerful drawing function. In the end, the calculation of the universal characteristic resistance moment diagram is drawn.
Comprehensive description. Platform: |
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Search - polynomial fitting in matlab