GMM模型

说明：  分子动力学模拟的简化版。PDF文件中包含了伪代码。(a simple example for molecular dynamics)

膜渗透 FUENT UDF 气液两相流 (Gas-liquid two-phase flow membrane permeation FUENT UDF)

本程序实现利用高斯全选主元法解矩阵方程，即高斯-约旦法解方程(This program Gaussian Select the primary element method for solving matrix equation, that Gauss- Jordan method of solving equations)

Fortran program which can be used to solve linear system

说明：  此文件为源代码，经过多次验证可行。将代码输入lingo就可以运行(Immune algorithm to solve the maximum clique problem source code of this file, feasible after several validation. Matlab code input can run.)

响应面方法的一个例子，二阶响应面，使用正交矩阵法求解(rsm algorithms )

使用Matlab编程，对教材74页例3.3.1进行编程仿真。其中，正电压A的值、噪声方差值、每个码元周期内的采样点数N自行设定（可设置为可调的变量）。噪声值可使用Matlab中产生高斯随机数的函数来进行仿真。贝叶斯检测判决式中，先验概率P(H1)=P(H0)，判断错误的代价因子设为1，判断正确的代价因子设为0. 按照上述参数的设定进行仿真，实现对仿真数据的贝叶斯检测判决；循环生成仿真数据，并进行判决结果的统计，即记录判决正确的次数，估计正确判决的概率。(The use of Matlab programming, teaching materials 74 pages of 3.3.1 programming simulation. Among them, the value of positive voltage A, the variance of noise, the number of sampling points in each symbol cycle (N) can be set by itself (adjustable variable). Noise values can be simulated using the function of generating Gauss random numbers in Matlab. In the Bias detection decision, the prior probability P (H1) =P (H0), the factor of error judgment is set to 1, and the correct cost factor is set to 0. According to the simulation parameters and realize the judgment of Bayesian detection simulation data; generating cycle simulation data, statistics and decision, which records the correct number of judgment, the estimated probability of correct decision.)

说明：  蒙特卡罗模拟算法模拟MR模型中有序无序相变(In this cpp, using a useful combined Monte Carlo algorithm, we simulate the MR model model to study the phase transition)

dft频率测量算法，主要针对电网频率的测量(the dft frequency measurement algorithm)

说明：  该算法用于matlab，主要用于马尔可夫算法(THIS IS For markov algorithms)