sor

计算机模拟和蒙特卡洛方法，文件格式为pdg,主要介绍随机模拟方法(Computer Simulation and the Monte Carlo method, file format pdg, stochastic simulation method introduced)

说明：  一个用于液体受热蒸发的UDF。压缩包中包含fluent网格文件，可直接进行联系。(An UDF used for heated evaporation.)

说明：  点云通过不同的多项式来进行曲线拟合，可以手动设置多项式的次数。(Point clouds are fitted by different polynomials,The degree of the polynomial can be set manually.)

三维FDTD近远场变换程序,为时域近远场变换(three dimension FDTD near to far program)

说明：  一阶，二阶，三阶，四阶，显式与隐式龙格库塔方程求解常微分方程的matlab代码(Matlab code for solving ordinary differential equations of first, second, third, fourth, explicit and implicit Runge Kutta equations)

计算非线性系统的分叉图和李雅普诺夫指数，用于判断系统的混沌状态，独立的两个文件(a tool to calculate bifurcation and Lyapunov exponent)

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> )

粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO。它具有精度高，收敛快等优点，广泛用于系统辨识、函数优化等领域。文件pso.m是粒子群算法辨识程序，在此基础上，需要自行编写目标函数计算程序以实现不同系统的参数辨识。(Particle swarm optimization (PSO), also known as particle swarm optimization algorithm or bird swarm foraging algorithm (Particle Swarm Optimization), abbreviated as PSO. It has the advantages of high precision and fast convergence. It is widely used in system identification, function optimization and other fields. The document pso.m is a particle swarm algorithm identification program. On this basis, it is necessary to write an object function calculation program to realize the parameter identification of different systems.)

间断有限元方法（ Runge–Kutta discontinuous Galerkin ）求解N-S方程 算例为一维sod问题 流通量为BR1(Discontinuous Finite Element Method (Runge-Kutta discontinuous Galerkin) N-S equation solving a one-dimensional example problem sod Liquidity is BR1)

梁的有限元开裂分析代码，包括不同的裂纹形式，裂纹数目等(Finite element analysis of beams cracking the code, including different forms of crack, crack number, etc.)