14-NR

分别采用GMM和KDE对Iris数据集进行密度建模，并进行对比。通过EM算法来确定GMM参数，通过交叉验证来确定K值(GMM and KDE respectively Iris data set of density modeling, and compared. GMM by EM algorithm to determine the parameters of K determined by the value of cross-validation)

说明：  二维光子晶体弯曲波导的fdtd程序,matlab语言 ,TE波, PML边界条件,平面波光源(Two-dimensional photonic crystal waveguide bend the FDTD program, matlab language, TE wave, PML boundary conditions, plane wave light source)

清华大学研究生精品课程《钢筋混凝土有限元》教学程序 随动双线性硬化本构模型 (Tsinghua University Graduate Courses " reinforced concrete finite element" teaching program follower bilinear hardening constitutive model)

本程序求相关性K值大小，采用傅里叶矩阵和haar矩阵内积。(The procedures for seeking the size of the K value of the correlation, the use of the Fourier matrix and haar matrix of inner product.)

第二类Fredholm积分方程的数值解。 所谓积分方程就是积分号内有未知函数的方程(Second numerical solution of Fredholm integral equation)

通过测量光学薄膜的反射率曲线反演其光学常数，包括厚度与折射率(By measuring the optical thin film reflectivity curve inversion of its optical constants, including the thickness and refractive index)

此程序为基于时域有限差分法的matlab程序，主要是计算二维MUR吸收方柱散射(This procedure is based on finite difference time domain method matlab program, mainly of two-dimensional scattering MUR absorbing square columns)

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)

C语言版,机载SAR回波仿真程序，附有FFT和复数库，以及位图显示模块。本程序注释详解，对加深SAR的理解有很好的帮助(C language version, airborne SAR echo simulation program with FFT and complex database, as well as bitmap display module. Detailed notes of this procedure, for deepening the understanding of SAR has a good assist)

calcule de la p-value en c#