UGKS-1D

计算地波传输衰减的程序,可以设置高度，大气条件等(Ground wave transmission attenuation calculation program, you can set the height, atmospheric conditions, etc.)

说明：  粒子滤波重采样算法对比与分析，matlab实现。(Particle filter resampling algorithm comparison and analysis, matlab achieve.)

该程序利用赫兹理论，计算齿轮的接触应力，适用于直齿和斜齿轮的接触应力计算！(calculating contact stress )

阵列处理作业，MVDR或者其他高分辨方法，由于信号源无法确定，造成估计误差，采用对角加载的 增加单位阵法 ,以及 六源准则法 获取优化结果。(Array processing, MVDR, or other high-resolution method, the source can not be determined, resulting in the estimated error, the use of diagonal loading ' to increase the unit matrix method' , and ' six-source criteria method' to obtain optimal results.)

阻尼牛顿法、最速下降法、变尺度法的matlab程序。(Damped Newton' s method, steepest descent method, variable metric method matlab program.)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method between the method and Newton' s method, it takes only a first derivative information, but to overcome the steepest descent method convergence slow shortcomings, but also to avoid the Newton method needs to be stored Hesse and disadvantages of computing inverse matrix and the conjugate gradient method is not only one of the most useful methods to solve large linear equations, solution of large-scale nonlinear optimization is one of the most effective algorithm. In various optimization algorithm, conjugate gradient method is a very important one. The advantage is that a small amount of memory required, with step convergence, high stability, and does not require any external parameters.)

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)

xfdtd中用于计算光子晶体PBG的算例(example used for PBG calculation in xfdtd)

说明：  利用GA遗传算法解决欺骗函数最优问题，具体问题描述如下，如有问题请与我联系(The deceptive functions are a family of functions in which there exists low-order building blocks that do not combine to form the higher-order building blocks. Here, a deceptive problem that consists of 25 copies of the order-4 fully deceptive function DF2 is constructed for this paper. DF2 can be described as follows: f(0000)=28 f(0001)=26 f(0010)=24 f(0011)=18 f(0100)=22 f(0101)=6 f(0110)=14 f(0111)=0 f(1000)=20 f(1001)=12 f(1010)=10 f(1011)=2 f(1100)=8 f(1101)=4 f(1110)=6 f(1111)=30 This problem has a maximal function value of 750.)

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)