基于GRID格式DEM的等值线追踪算法（已删除编译目录），可用于多种散点插值生成的格网，只需将格网数据写成GRID格式的文本即可．...

应用背景 为防止今年电赛的四旋翼题目，自己写了个四旋翼程序，内含3路PID，内环为角度，外环位置（高度），PID为增量式的，考虑到了4个电机不同状态和位置时的控制，比较容易理解 关键技术 自己写的stm32四旋翼程序（为电子设计大赛准备的），利用MPU6050求得的姿态角进行PID校正，误差在0.3度左右，（自己拿量角器量过），内置了串口调试程序，在PC端可以自己调节PID，占空比等参数，也可以自己接一个蓝牙模块，用手机直接控制（我就是这样做的），内含超声波测距程序（最简单的那种模块，很便宜的），电机 占空比之类的已经试过，可以起飞，

这是一个使用MFC实现的json文程序，json文件c++解析器，非常好用。

科学与工程数值计算算法（Visual Basic版）一书的源代码。对科学研究者自己开发领域内计算程序极具参考价值。-science and engineering numerical algorithm (Visual Basic version) a book source. Scientific researchers to develop its own procedures for calculating the area of great reference value.

设A和B是2个字符串。要用最少的字符操作将字符串A转换为字符串B。这里所说的字符操作包括： 1. 删除一个字符 2. 插入一个字符 3. 将一个字符改为另一个字符 将字符串A变换为字符串B所用的最少操作数称为A到B的编辑距离，极为d(A,B)。设计一个算法，计算任意两个字符串的编辑距离。 -Set A and B are two strings. Operation will use the least character string A is converted to a string B. Operation of characters are talking about here include: 1. Delete a character 2. Insert a character 3. Will be replaced by one character to another character will be transformed into a string A string of at least B operand used by A to B is called the edit distance is extremely d (A, B). Design an algorithm to calculate any two of the string edit distance.

M 文件包括的扩展卡尔曼滤波和卡尔曼 Filter(includes both nonaugment and augment) Unscent 估计正弦信号的算法。代码可以正确运行和结果显示明显。

自适应的kalman滤波程序,通过灵活的调用，实现kalman的自适应滤波。-kalman_filter

遗传算法，可应用于图像处理等领域，英文名称为Genetic Algorithm，是一种非常经典的方法，该matlab程序为原创程序，简易清晰明了，标注得当，采用文件包，内含代码以及遗传算法的报告说明及几个论文，供学习交流。

目前的商用有限元程序不但分析功能几乎覆盖了所有的工程领域，其程序使用也非常方便，只要有一定基础的工程师都可以在不长的时间内分析实际工程项目，这就是它能被迅速推广的主要原因之一。-The current commercial finite element analysis capabilities will not only cover almost all the engineering fields, and the procedure is also very easy to use, as long as there is some basis for engineers can be a long period of time without an analysis of actual projects, that is, it can be rapidly expanded one of the main.

1.绘制三维lorenz信号图 2.lorenz信号图在三个平面的投影 3.lorenz信号三个方向的时间序列

Polynomial fit functions === === RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with the complexity of your problem.-Polynomial fit functions === === === === RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with the complexity of your problem.