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说明：  MATLAB技术论坛电子期刊第四期，matlabksy专业MATLAB技术交流平台！(MATLAB Technical Forum Electronic Journal IV, matlabksy professional technical exchange platform for MATLAB!)

EFFICIENT RANDOM VARIATES GENERATOR (from over 50 distributions):Alpha, Anglit, Antilognormal, Arcsin, Bernoulli, Bessel, Beta, Binomial, Bradford, Burr, Cauchy, Chi, Chi-Square (Non-Central), Chi-Square (Central), Cobb-Douglas, Cosine, Double-Exponential, Erlang, Exponential, Extreme-Value, F (Central), F (Non-Central), Fisher-Tippett, Fisk, Frechet, Furry, Gamma, Generalized Inverse Gaussian, Generalized Hyperbolic, Geometric, Gompertz, Gumbel, Half-Cosine, Hyperbolic Secant, Hypergeometric, Inverse Gaussian, Laplace, Logistic, Lognormal, Lomax, Lorentz, Maxwell, Nakagami, Negative Binomial, Normal, Normal-Inverse-Gaussian (NIG), Pareto, Pareto2, Pascal, Planck, Poisson, Quadratic, Rademacher, Rayleigh, Rice, Semicircle, Skellam, Student s-t, Triangular, Truncated Normal, Tukey-Lambda, U-shape, Uniform (continuous), Von Mises, Wald, Weibull, Wigner Semicircle, Yule, Zeta,(EFFICIENT RANDOM VARIATES GENERATOR (from over 50 distributions): Alpha, Anglit, Antilognormal, Arcsin, Bernoulli, Bessel, Beta, Binomial, Bradford, Burr, Cauchy, Chi, Chi-Square (Non-Central), Chi-Square (Central), Cobb-Douglas, Cosine, Double-Exponential, Erlang, Exponential, Extreme-Value, F (Central), F (Non-Central), Fisher-Tippett, Fisk, Frechet, Furry, Gamma, Generalized Inverse Gaussian, Generalized Hyperbolic, Geometric, Gompertz, Gumbel, Half-Cosine, Hyperbolic Secant, Hypergeometric, Inverse Gaussian, Laplace, Logistic, Lognormal, Lomax, Lorentz, Maxwell, Nakagami, Negative Binomial, Normal, Normal-Inverse-Gaussian (NIG), Pareto, Pareto2, Pascal, Planck, Poisson, Quadratic, Rademacher, Rayleigh, Rice, Semicircle, Skellam, Student s-t, Triangular, Truncated Normal, Tukey-Lambda, U-shape, Uniform (continuous), Von Mises, Wald, Weibull, Wigner Sem)

关于matlab编程的规则及风格介绍，对养成良好的编程习惯受益颇多(Matlab programming on the rules and style of introduction, to develop good programming habits of many benefits)

When doing optimization, GA algorithm was initially selected, but the instability of the GA (or local optimization) is really frustrating, before and after the resulting difference can at times reach more than 30 , at that time due to time reasons, I chose to optimize 1000 times, then the minimum value of the most optimal solution. Although the problems are solved, but an academic, this style of running is pretty embarrassing. So, I downloaded a GA-PSO algorithm, try using the combination of GA and PSO optimizing strategies, results algorithm issues, efficiency and good. I downloaded the original algorithm, there is a problem is that it is aimed at all upper and lower limits of the design variables are the same, so I modified the program and improvements, you can now deal with upper and lower limits of the inconsistency problem and fix the bug. Now, program modifications, and share, hoping to be useful to you

该程序用Dijkstra算法寻找最小路径。输入为起点，终点，邻接矩阵。输出为最短距离，最短距离对应的路程。代码有详细注释说明。(The procedure used Dijkstra algorithm to find the minimum path. Enter as a starting point, end point adjacency matrix. The output is the shortest distance, shortest distance corresponds to the distance. Codes are detailed explanatory notes.)

Simulink官方教學, 內容詳盡, 每個方塊組成都有介紹(Official documentation on Simulink, including details on every elements.)

利用层次分析法建模，获取确定的决策方法，并举例实现(Use of the analytic hierarchy process modeling, access to determine the method of decision-making, for example to achieve)

These pages introduce a MATLAB Graphical User Interface (GUI) for control of several Blind Source Separation (BSS) algorithms. The GUI enables to work with input and output data, multiple signals plot and saving output variables to the base workspace of Matlab or to a file. The GUI also provides the Monte-Carlo Analysis to validate features of the algorithms ivolved.

仿真移动机器人避障的实验,是机器人在制定的环境中避开障碍，到达目的地。(Simulation of mobile robot obstacle avoidance experiments, is in the formulation of the robot environment to avoid obstacles, reach their destinations.)

一种脑电地形图快速成像方法研究 一种脑电地形图快速成像方法研究(A fast imaging method for brain electrical activity mapping)