S11

其中包含了两个用matlab编写的Zernike程序。(Which contains two Zernike prepared using matlab program.)

王济老师《MATLAB在振动信号处理中的应用》书中源程序(Wang Ji teacher " MATLAB in Vibration Signal Processing Applications" book source)

可以对某一块海洋区域进行纵切断面，并在一张图上生成几个图片(Can conduct a longitudinal section of a marine areas, and generate a few pictures on a map)

利用Matlab及施工中采集的点云数据绘制点云图(Matlab and point cloud data collected in the construction drawing point cloud)

(实例)最短路径分析源码，可以作为路径分析的参考依据，可作为基于最短路径算法的物流配送车辆优化调度（VRP）的研究((Instances) source shortest path analysis, path analysis can be used as a reference, the study can be used as distribution logistics shortest path algorithm based on vehicle scheduling (VRP))

非负矩阵分解的最新算法的matlab实现，以及多种算法之间的对比，和在图像识别中的应用,实测可用(The latest non-negative matrix factorization algorithm matlab implementation, as well as the contrast between a variety of algorithms and image recognition applications, the measured available)

该文件基于Matlab的GUI界面设计了6自由度串联机器人的运动学、动力学和轨迹规划的算法，用户可以计算PUMA560型的机器人的正逆运动学，正逆动力学和指定的轨迹规划，同时可以动画显示机器人点对点的运动路线。该程序可进行二次开发，用户可根据机器人模型的不同修改参数，针对自身模型进行运动学、动力学和轨迹规划的计算与仿真。(Based on the GUI interface of matlab, this paper designs an algorithm for kinematics, dynamics and trajectory planning of 6-DOF serial robot. Users can calculate the forward and inverse kinematics, forward and inverse dynamics and specified trajectory planning of PUMA560 robot. At the same time, they can animate the point-to-point motion path of the robot. The program can be redeveloped. Users can modify parameters according to different robot models, and calculate and simulate kinematics, dynamics and trajectory planning of their own models.)

说明：  用matlab平稳时间序列的分析，建模以及预测(ARMA模型)(Analysis, modeling and prediction of stationary time series with MATLAB (ARMA model))

vc代码通过调用matlab生成的DLL文件实现VC和matlab的混合编程(vc code matlab generated by calling the DLL file to achieve a mixture of VC and matlab programming)

油藏一维一相数值模拟，使用不同方法进行比较有，显式差分格式，隐式差分格式，及精确解的比较(One phase of one-dimensional numerical reservoir simulation, using different methods compared, explicit difference scheme, implicit difference scheme, and the comparison of exact solution)