ekfcode

本程序是贝叶斯网络结构学习的K2算法程序，可获取离散变量的贝叶斯网络(This procedure is K2 Bayesian network structure learning algorithm program, available discrete variables Bayesian Network)

说明：  umat公式详细介绍，我也不知道够20字了mei(the introduction of umat in abaqus)

简单的滤波代码，包含高通滤波，低通滤波，带通滤波和带阻滤波。( U7B80 u5E5 u6E4 u6E4 u6E1 u6E1 u6E2 U5E26 u963B u6EE4 u6CE2 u3002)

说明：  模糊指数平滑算法源程序,进行预测 计算.(fuzzy exponential smoothing algorithm source for projection.)

利用克拉茂克郎尼变换，求得表面等离子体相位虚数部分再不同波长或入射角度的值(estimation of the imaginary part via Krammers-Kronig relarions)

说明：  时域物理光学法，包括了立方体刨分程序，二维fft计算，任意目标的散射系数的程序。 学习物理光学的很好的入门代码。(The physical optics method in time domain, including the cube planing procedures, two-dimensional fft calculation, any scattering Coefficients of the target program.)

该程序实现的功能是给定两个整数n和m，0<n< m< 200，你的程序要计算第n个素数到第m个素数之间所有的素数的和，包括第n个素数和第m个素数。(The function of the program implementation is given two integers n and m, 0 < n < m < 200, your program to calculate the NTH prime number between the first m prime and all the prime Numbers, including the NTH prime number and the first m a prime.)

说明：  经典圆柱绕流算例，基于palabos开源软件，计算结果非常好(cylinder flow with palabos)

Do you need to gain confidence with handling numbers and formulae? Do you want a clear, step-by-step guide to the key concepts and principles of statistics? Nearly all aspects of our lives can be subject to statistical analysis. Statistics: An Introduction shows you how to interpret, analyze and present figures. Assuming minimal knowledge of maths and using examples from a wide variety of everyday contexts, this book makes often complex concepts and techniques easy to get to grips with. This new edition has been fully updated. Whether you want to understand the statistics that you are bombarded with every day or are a student or professional coming to statistics from a wide range of disciplines, Statistics: An Introduction covers it all.

说明：  经典99行拓扑优化程序，采用Heaviside方程获得接近0-1离散解(The classical 99-line topology optimization program uses Heaviside equation to obtain nearly 0-1 discrete solution)