GaborTr

matlab的一些编程，包括图，插值，无约束优化，算法设计与分析等(Some of matlab programming, including drawings, interpolation, unconstrained optimization, algorithm design and analysis)

watershed programming

五对角线性方程组求解程序. 速度奇快.一千阶,0.019秒 一万阶:0.56秒 10万阶:61秒. 数据输入结构见程序内英文说明.(Five linear equations solver. The speed of a swift pace. A thousand bands, ten thousand bands 0.019 seconds: 0.56 seconds 100,000 bands: 61 seconds. Data input structure see process description in English.)

粗糙集属性约简的matlab小程序以及一些可读文献~~~~(Rough set attribute reduction procedures as well as some small matlab readable literature ~ ~ ~ ~)

说明：  会灰色理论 新的算法计！~~~~~~~~~~~~~~~~(Grey the new algorithm will count! ~~~~~)

基于双环控制的光伏发电系统并网的仿真图，希望能有所帮助(Photovoltaic power generation system based on double loop control grid simulation diagram, hoping to help)

蚁群算法的MATLAB实现,有详细的注释（ACO_VRP.m）(ACO_VRP)

This is run before things

matlab访问串口的程序，包括：打开、关闭和清除串口对象；读串口、写串口；串口的wAxzFSp数据流控制；还包括：怎么用matlab发送手机短信的nPDMteb例程；这是学习matlab访问系统硬件的原理。(Matlab serial access program, including: open, close, and clear the serial port object reading the serial port, serial port write serial wAxzFSp data flow control also include: how to use matlab to send SMS wAxzFSpl routines this is to learn matlab access principle of the hardware system.)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)