粒子群路径规划

利用PB读写xml文件。很方便的小程序，用PB方便快捷的对xml进行读写。-The use of PB to read and write xml file. Very convenient little program, with the PB convenient to read and write to the xml.

24小时教会你python的常用功能，减少初学者的学习时间，提高学习效率-24-Hour Church of your python commonly used functions, reduce the learning time for beginners to improve learning efficiency

说明：  二维方腔环流 Simulating a Lid-Driven Cavity flow with a lid moving at speed uo ...Flow considered is laminar and of an incompressible Newtonian fluid ...Pressure correction method is used on a staggered grid ...to solve the Navier Stokes equations(CavityFlow Simulating a Lid-Driven Cavity flow with a lid moving at speed uo ...Flow considered is laminar and of an incompressible Newtonian fluid ...Pressure correction method is used on a staggered grid ...to solve the Navier Stokes equations)

基于MO+VB实现的旅游查询系统，该系统实现了景点的查询和出行路线的查询(Tourism inquiries system based on MO+VB implemented, the attractions queries and travel routes queries)

bc++build 6.0 最简CGI程序演示(bc++build 6.0 cgi example)

说明：  SVM和FCM的matlab平台简单教程及实现(SVM and FCM matlab simple tutorial)

　 本书是作者使用ArcObjects进行项目开发以及在ArcObjects授课中经验的总结，能够使GIS开发人员快速领悟到ArcObjects的精髓，掌握AO开发中的关键和必要的技巧。全书共19章，分为基础篇，技巧篇和提高篇-This book is the author use ArcObjects developing projects as well as the medium of instruction in ArcObjects experience, enabling GIS developers quickly realized that the essence of ArcObjects to grasp the key to the development of AO and the necessary skills. A total of 19 book chapters, divided into the basic articles, tips articles and improve articles

说明：  windsat风场数据读取，包括月平均，3天平均及其他(WindSat wind data reading, including monthly average, 3-day average and others)

一个基于jQuery打造的幻灯片特效 左右滑动切换图片，设计唯美，鼠标点击当前大图片，即可切换图片显示下一张，js方面，引入了jquery.easing.1.2.js以及jquery插件，兼容各大网页浏览器。

这部分是用MATLAB产生随机过程的一系列源代码.含产生高斯分布随机变量,多变量高斯过程样本的产生,高斯--马尔科夫过程的产生等等..分别运行了这些程序.希望对大家有用-This is partly a random process generated by MATLAB source code of the series. Containing random variables have a Gaussian distribution, multivariate Gaussian process for selecting the sample, Gaussian- Markov process and so on .. have to run the procedure separately . everyone would like to be useful