Extremaloptimization

胡广书例题matlab源程序,每章节均有,比较精彩(Hu Guangshu Examples Matlab source files, each chapter is more exciting)

radar matlab simulation

元胞自动机模拟火灾，森林火灾模型，树燃烧状态的转变(Cellular automata simulated fire)

单纯形法，求解线性规划问题的通用方法。单纯形是美国数学家G.B.丹齐克于1947年首先提出来的。它的理论根据是：线性规划问题的可行域是 n维向量空间Rn中的多面凸集，其最优值如果存在必在该凸集的某顶点处达到。顶点所对应的可行解称为基本可行解。单纯形法的基本思想是：先找出一个基本可行解，对它进行鉴别，看是否是最优解；若不是，则按照一定法则转换到另一改进的基本可行解,再鉴别；若仍不是，则再转换,按此重复进行。因基本可行解的个数有限，故经有限次转换必能得出问题的最优解。如果问题无最优解也可用此法判别。 (Simplex method, for solving linear programming problems common method. Simplex is the American mathematician GB Danzig in 1947 first put forward. Its theory is based on: linear programming problem feasible region is n-dimensional vector space Rn convex set in the multi-faceted, and its optimal value must be if the vertices of a convex set to achieve. Feasible solution corresponding to the vertex is called a basic feasible solution. The basic idea of the simplex method is: first find a basic feasible solution, to identify it and see whether it is the optimal solution If not, switch to another according to certain rules to improve the basic feasible solution, and then identify if still No, the re-conversion, click here to repeat. Due to the limited number of basic feasible solution, it will be converted by the finite optimal solution can be reached. If the problem can also be the optimal solution method has been applied without discrimination. )

说明：  利用高斯频谱产生三维的高斯随机起伏地表的小软件(generates 3D Gaussian random rough surfaces with Gaussian Spectrum.)

把三角函数的和 按周期的不同 把需要的周期函数 抽出来 相当于滤波器的作用(The trigonometric functions and the need to press the different cycles of periodic functions to extract the equivalent filter function)

可实现函数的产生，基本运算，时域频域分析(Generation function, basic operations, time domain frequency domain analysis)

我们采用交警平台！对数据进行处理！我们会努力的加油(We use traffic platform! For data processing!)

通过 MIMOsimSpectralHelp() 输入不同参数，可以模拟和比较在不同结构和环境下MIMO系统的性能；有助于我们理解MIMO。(Enter through MIMOsimSpectralHelp () with different parameters, you can simulate and compare the performance of different structures and environments in MIMO systems help us understand MIMO.)

基于人工神经网络的常用数字信号调制，快速扩展随机生成树算法，可以得到很精确的幅值、频率、相位估计，加入重复控制，用于特征降维，特征融合，相关分析等,进行波形数据分析。( The commonly used digital signal modulation based on artificial neural network, Rapid expansion of random spanning tree algorithm, You can get a very accurate amplitude, frequency, phase estimation, Join repetitive control, For feature reduction, feature fusion, correlation analysis, Waveform data analysis.)