Coding-Tutorials-for-Computational-Fluid-Dynamics

说明：  LD算法，实现信号的分析，频谱分析，避免矩阵的求逆运算(failed to translate)

机器人控制仿真程序,北京航空航天大学刘金琨编写(Robot control simulation program, Beijing university of aeronautics LiuJinKun writing)

sobel算子，边缘检测算法，对初学者有参考作用(sobel operator, the edge detection algorithm, a useful reference for beginners)

有大量的方程是无法直接求出解析解的，用matlab可以方便的得出复杂方程的数值解，附有pps的讲解说明(There are a lot of equations can not be directly obtained analytical solution of the numerical solution of the complex equation matlab can come and with pps explain instructions)

LES算法。包含梯度下降法优化算法，并且以图示每一步迭代权值如何更新。(LES algorithms. Contains gradient descent optimization algorithm, and with each iteration illustrates how to update the weights.)

lpc语音信号合成，给出了完整的LPC matlab程序，包括语音信号采集，LP预测系数(failed to translate)

说明：  在命令窗输入如下内容就得到图形了: [t,x]=ode45( godhua ,[0,10],[0,0,0,1]) subplot(131) plot(t,x(:,4)) xlabel( t ) ylabel( y ) subplot(132) plot(t,x(:,1)) xlabel( t ) ylabel( v ) subplot(133) plot(t,x(:,2)) xlabel( t ) ylabel( \theta ) (At the command window type the following content to be the graphics: [t, x] = ode45 (godhua, [0,10], [0,0,0,1]) subplot (131) plot (t, x (:, 4 )) xlabel (t) ylabel (y) subplot (132) plot (t, x (:, 1)) xlabel (t) ylabel (v) subplot (133) plot (t, x (:, 2)) xlabel ( t) ylabel (heta))

介绍了matlab在工程应用方面的使用和方法(Matlab introduced the use in engineering applications and methods)

matlab上通过GUI实现神经网络的实例(GUI netural network experiment.)

用matlab实现基于时间序列的最小二乘支持向量机预测，代码简单易懂，适合初学者使用(achieve the lssvm regression based on time series using matlab)