oneweichafen

《MATLAB统计分析与应用：40个案例分析》程序与数据(MATLAB statistical analysis and application: 40 case studies" program and data)

说明：  matlab聚类分析代码聚类分析代码聚类分析代码聚类分析代码(cluster analysis cluster analysis matlab code code code cluster analysis cluster analysis code)

matlab的参考书 对于基本语法的使用很详细，很实用，特别是对于通信行业者(matlab reference books for the use of the basic syntax is very detailed, very practical, especially for the communications industry who)

用cfd解1一维Riemann问题，采用二阶精度两步差分格式进行数值求解(Cfd solution with a one-dimensional Riemann problem, the use of second-order accurate numerical solution of the two-step difference scheme)

matlab生成的mat文件导入到vc++里面，方便matlab和vc联合编程，程序为最基础底层编程，已经过测试(matlab generated mat file into vc++ inside, easy matlab and vc joint programming, the program is the most basic underlying programming, has been tested)

介绍了一种基于VB 后台调用ANSYS和MATLAB进行设计计算的方法。通过借助VB设计的参数化输入界面， 调用APDL编写的模型分析程序和MATLAB编写的可靠性计算程序，实现了在用户界面上以可视化的形式显示计算结果功 能，并应用于铁路接触网设计的可靠性计算中，结果显示证明了计算软件的可行性和实用性。(Describes the background of a call based on ANSYS and MATLAB VB design calculation. VB by using the design parameters of input interface, called APDL model prepared by the procedures and the reliability of computer program written in MATLAB, implementation in the user interface to visualize the results in the form of display features, and design used in railway catenary the reliability of the calculation, the results proved the feasibility and practicality of computing software.)

非线形混沌系统的庞加莱图的画法的代码以及其MATLAB m文件代码(Non-linear chaotic system Poincare map of the painting of the code and its MATLAB m-file code)

Queen problem is solved

使用WIN-TC编写一个程序，实现数值积分。用复化梯形方法、复化Simpson方法、变步长梯形方法、变步长Simpson方法编程求解积分值。(Using WIN-TC to write a program to achieve numerical integration. Compound trapezoid method used, the complex method of Simpson, variable step trapezoidal method, Simpson variable step method for solving integral value programming.)

编写针对一个搜索点宏块比较的下面两个匹配函数：均方误差(MSE)、绝对值误差(MAD)。函数名直接使用简写。要求当前帧和参考帧的数据均采用二维数组表示。(Writing for a search point macroblock compare the following two matching functions: the mean square error (MSE), absolute error (MAD). The function name directly using shorthand. Requirements of the current frame and reference frame data are used two-dimensional array.)