Paraboloidfitting

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)

使用拉格朗日乘子法解约束优化问题，例子是最优化问题，有3个线性约束(Using the Lagrange multiplier method to solve the constrained optimization problem)

说明：  Copula and tail dependence

cohesive element模拟复合材料损伤-VUMAT(cohesive element-VUMAT)

电力芯片RN8302计算高次谐波时的FFT变换算法，最高可实现51次谐波计算。(FFT transform algorithm for power chip RN8302 to calculate the high harmonics, the highest can achieve the 51 harmonic calculation.)

2维TE波的FDTD的源程序。周期边界条件，有限宽度的吸收边界条件(Two-dimensional TE wave FDTD source. Periodic boundary conditions, the limited width of the absorbing boundary conditions)

该程序是一种最小二乘滤波算法的matlab实现程序，主要应用于非平稳信号的干扰抑制中(The program is a least squares filtering algorithm matlab implementation program, mainly used in non-stationary signal interference suppression in)

WINDOWS计算器程序(Windows calculator program)

说明：  Matlab编写的最速下降法算法程序，美国一本权威数值计算方面的书上的源程序。(Matlab prepared by the steepest descent algorithm, a numerical calculation authoritative book on the source.)

附件中是我用Fortran写的lorenz混沌吸引子的lyapunov指数谱产生程序。包括三部分内容：如何产生lorenz吸引子，详细注释，如何计算lyapunov指数谱。 需要的话也可以单独提取子程序中的四阶龙格库塔算法。 希望有所用。(Annex is written in Fortran I used the Lorenz chaotic attractor of lyapunov index spectrum generation process. Includes three parts: how to generate Lorenz attractor, detailed notes, how to calculate the spectrum lyapunov index. If necessary, extraction can also be a separate subroutine in the fourth-order Runge-Kutta algorithm. Would like to see used.)