TouchExplorer

实现GPS网平差，基于C++的源代码，对导航、测绘、工程类技术人员有帮助。(GPS network adjustment, based on the C++ source code, navigation, mapping, engineering technology helps.)

用C语言打造的一个简单的贪吃蛇游戏，界面不是很漂亮-With the C language to create a simple Snake game, the interface is not very pretty

说明：  kmeans聚类图像分析 可用于图像的分割，效果比较好(Kmeans clustering image analysis)

天文辐射计算，是气象、水文等行业所必备程序，不错-Calculation of solar radiation, meteorological, hydrological and other industries necessary procedures, good

陆吾生教授是加拿大维多利亚大学电气与计算机工程系的教授。此课件为其在国内大学短期精品课程的课件。包含最优化问题求解，压缩感知方法及其在稀疏信号和图像处理中的应用（压缩、重构、降噪等）。(Professor Lu Wusheng University of Victoria, Canada Professor of Electrical and Computer Engineering. The courseware for the University in the domestic short-term quality courses courseware. Contains the optimization problem solving, compressed sensing method and its sparse signal and image processing application (compression, reconstruction, noise reduction, etc.).)

Electro Magnetic Theory Tutorial Questions & solutions

用vb写的modbuus例子，实现modbus 1-4号功能。数组显示。excel表格导入导出等功能。

可以实现基本的电力系统经济调度，包含网损算法(It can realize the basic power system economic dispatch, including the network loss algorithm.)

具有炫酷3D切割轮播图插件,可修改参数,相当好用,推荐给大家(It has a cool plug-in for 3D cutting and rotatable drawing. It can modify the parameters and is very useful. It is recommended to you.)

说明：  周志华 机器学习 机器学习是计算机科学与人工智能的重要分支领域. 本书作为该领域的入门教材，在内容上尽可能涵盖机器学习基础知识的各方面。 为了使尽可能多的读者通过本书对机器学习有所了解。 作者试图尽可能少地使用数学知识. 然而, 少量的概率、统计、代数、优化、逻辑知识似乎不可避免. 因此, 本书更适合大学三年级以上的理工科本科生和研究生, 以及具有类似背景的对机器学 习感兴趣的人士. 为方便读者, 本书附录给出了一些相关数学基础知识简介(machine learningMachine learning is an important branch of computer science and artificial intelligence. As an introductory textbook in this field, this book covers all aspects of basic knowledge of machine learning as far as possible. In order to make as many readers as possible understand machine learning through this book. The author tries to use mathematical knowledge as little as possible. However, a small amount of knowledge about probability, statistics, algebra, optimization and logic seems inevitable. Therefore, this book is more suitable for undergraduates and postgraduates of science and engineering over the third year of the University, as well as people with similar background who are interested in machine learning. For the convenience of readers, the appendix of this book gives some basic mathematical knowledge)