Stiff_equations.pdf

高斯回归建立代理模型行协方差函数的选着的变成(gpml-matlab-v3.1-2010-09-27)

考普森教授在这本书中，使用经典的分析方法，给出了严谨的一阶和二阶线性偏微分方程理论方面的知识。(in this book， professor copson gives a rigorous account of the theory of partial differential equations of the first order and of linear partial differential equations of the second order， using the methods of classical analysis.)

三次样条曲线拟合代码，先训练，后差值，计算非常准确(Three times spline curve fitting, the first training, and after, computation is very accurate)

说明：  CZT和FFT的C语言实现代码，能有效滤除谐波，噪声。获得信号的频率，是一种良好的频率测量算法。(CZT and FFT of the C language code, can effectively filter out harmonics and noise. Access to the signal frequency, is a good algorithm for frequency measurement.)

一篇论文，转子动力学方面，思路独特，新颖性强。题目为叶片-转子-轴承系统的非线性动力学问题研究(Paper, rotor dynamics, the idea of ​ ​ unique, innovative and strong. Entitled blades- Rotor- bearing system of nonlinear dynamics)

偏最小二乘回归的通用程序，以“基于近红外光谱分析的汽油组分建模”为例 (Partial least squares regression of the general program of " Near infrared spectroscopy based gasoline component modeling" as an example)

用mfc实现计算器的基本操作，支持键盘输入，并保留xp风格,可计算平方，幂，时间显示等操作(With mfc achieve the basic operation of the calculator, support for keyboard input, and retain xp style, calculates the square, power, time display and other operations)

PCA算法程序设计步骤： 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步） 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量 (PCA algorithm programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)

偏最小二乘回归在matlap中的实现，源代码，有交叉效应(The implementation of partial least squares regression in matlap, source code, cross effect)

使用MATLAB编写的卡尔曼滤波源程序，简单易用，输出卡尔曼滤波的最优结果。(Prepared by the use of MATLAB Kalman filter source, easy-to-use, the output of the optimal Kalman filter results.)