SIMPLER

该文件解决了电磁场和天线问题计算当中的近远场转换的问题，它也可以应用在一般散射问题的求解中。(this file contains an algorithm that could solve problems within the EM and antenna near to far field questions. Also, it could be used in general scattering problems.)

fluent软件UDF，用于焊接过程模拟，是高斯分布的面热源。(weld heart source)

模型大小延伸程序；及实现快速傅里叶变换的小程序。该两程序通俗易懂，适合初学者(Model extension、 FFT)

外点罚函数方法，可以用来求解约束优化问题，也可以用来被调用在智能算法中(Point outside the penalty function can be used for solving constrained optimization problems, can also be used in intelligent algorithm called)

地震勘探中，有限差分正演方法的简单一维数值模拟(Seismic exploration, forward finite difference method is simple one-dimensional numerical simulation)

Kalman滤波的一个仿真程序，基于“当前”统计模型(Kalman filter, a simulation program, based on the )

常用的积分函数，能够很方便的解决数值积分的问题(Commonly used integral function, can be very convenient to solve the problem of numerical integration)

利用Lax-wendroff两步差分格式求解一维激波管问题Fortran语言(Use a two-step Lax-wendroff Difference Scheme for Solving the one-dimensional shock tube problem Fortran language)

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.)

改进的混沌引力搜索算法，程序有详细注释和相应的文献(The improved chaotic gravitational search algorithm has detailed annotations and corresponding documents.)