B_ADI

Fitting curve distribution function拟合曲线分布函数(Fitting curve distribution function)

说明：  采用电磁仿真软件HFSS进行雷达散射截面(RCS)计算实例.(Monostatic Radar Cross Section)

This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real) To compile: ICC KMEANS.CPP <enter> (This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector]- vector N (real) To compile: ICC KMEANS.CPP <enter> )

随机有限元理论教材，是学习随机有限元及可靠度理论的不错东东 (Stochastic finite element theory of teaching materials, are studying stochastic finite element and reliability theory is true Dongdong)

数值分析课程必备的算法：列主元高斯消去法算法。有需要的同学下载(Numerical analysis courses required algorithms: PCA out Gaussian elimination algorithm. Those students in need to download)

通过FORTRAN编写damage子程序，在板材成形中实现破裂的可视化及成形极限预测(FORTRAN subroutine written by damage to achieve rupture of visualization in sheet metal forming and forming limit prediction)

增广拉格朗日乘子方法求解RPCA问题的方法，得到矩阵的稀疏成分和低秩成分。(argumented lagrange multiplier method that can make matrix be decomposed to a sparse matrix and low-rank matrix.)

说明：  本模拟是采用分步傅里叶的解，求光孤子在光线内传输过程数值求解薛定谔方程。方程是激光器在光纤中传输的过程。(In this simulation, the fractional Fourier solution is used to solve the Schrodinger equation. The equation is the process of laser transmission in fiber.)

基于MATLAB，利用牛顿迭代法，求解复杂非线性方程组(Solving nonlinear equations by Newton iteration)

说明：  矩阵求逆，使用fortran语言编写，希望能对有需要的朋友有所帮助(Matrix inversion, written in FORTRAN language, hoping to help friends in need)