cat_mouse

matlab经典算法的程序：规划问题，插值与拟合，解方程，数据分析，绘图等。内含程序源码及教学课件(classical algorithm matlab processes: planning, interpolation and fitting, solution of equations, data analysis, mapping and so on. Containing procedures and source courseware)

这是一个Knn分类算法的Python实现，Matlab中有类似的函数(knn classifer)

汽车七自由度的振动程序，可以求解固有频率，悬架的动挠度等，欢迎大家下载学习与交流(vibration of the car with seven degrees)

最新PSAT软件包,一款电气化处理的强大软件。(a very powerful software a verypowerful softwarea very powerful software)

采用m文件编写的MATLAB程序，此文件实现四杆机构的动画，其中M点实现直线运动(linear motion with matlab)

混合蛙跳算法（Shuffled Frogleaping Algorithm）是进化计算领域新发展起来的一种优化算法，由Eusuff和Lansey与2003年为解决组合优化问题而最先提出(shuffled frogleaping Algorithm，)

hi all this is the 1st file which its contain no thing

说明：  利用excel进行蒙特卡罗分析，利用excel进行蒙特卡罗分析(Lets you do Monte Carlo analysis using your Excel spreadsheet)

说明：  通过不同大小的窗口移动，计算每个窗口内地形剖面数据的均方根值，得到的数据在双对数图中拟合直线可求得分维数(move the windows of different size and calculate the rms of the data in the window.Then using the resultant data to plot,so that the fractal dimension can be gotten.)

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.