131-DSDT Patcher GUI

CSOL白色辅助全功能源码，里面包含超多功能。直接编译就可以！(CSOL all-white secondary source, which contains super-versatile. Can be directly compiled!)

说明：  该文件为ATF53143的封装文件，喜欢的可以下载(this is a file about ATF54143 which you can load if like)

在初步求解非线性方程式时，对代码比较模糊，使用于初学者。(When solving the non-linear equation preliminarily, the code is vague and can be used for beginners.)

利用matlab仿真的雷达方向图程序，该程序仿真了和波束，差波束等，程序真实有效。(Radar direction map program using MATLAB simulation)

Splashy是基于Linux系统的下一代的Boot Splash。它不需要打补丁而且就象正常的包一样安装。用Splashy能使你的启动过程变得赏心悦目。-Splashy is based on the Linux system, the next generation of the Boot Splash. It does not need patching and package the same as a normal installation. Splashy will enable you to use the boot process has become a pleasure.

说明：  可以被用来解决目标函数冲突的多目标优化问题(Solving multi-objective optimization problems)

一个可以在自己的电脑屏幕上生成烟花的小程序，可以烟花没有设计成圆的(One can generate fireworks on their computer screen applet, you can not designed to circle fireworks)

数字摄影测量系统,主要功能有内定向、相片纠正、后方交会和前方交会、连续像对相对定向和绝对定向、单独像对相对定向和绝对定向、一步法定向。-Digital photogrammetric system, the main function in orientation, photo correction, resection and intersection in front of a row as the relative orientation and absolute orientation, relative orientation, as a separate and absolute orientation, one-step orientation.

VC++ 编写虚拟设备驱动的源代码，VXD实例程序，如虚拟键盘驱动程序(vkd),虚拟鼠标驱动程序(vmd)等等。源码包包括有多种虚拟设备的驱动程序源码，对学习此类相关的VC++源码相当有参考价值。

说明：  聚类分析是数据挖掘中重要的研究内容之一，对聚类准则进行了总结，对五类传统的聚类算法的研究 现状和进展进行了较为全面的总结，就一些新的聚类算法进行了梳理，根据样本归属关系、样本数据预处理、 样本的相似性度量、样本的更新策略、样本的高维性和与其他学科的融合等六个方面对聚类中近 20多个新算 法，如粒度聚类、不确定聚类、量子聚类、核聚类、谱聚类、聚类集成、概念聚类、球壳聚类、仿射聚类、数据流聚 类等，分别进行了详细的概括。(Clustering analysis is one of the important research contents in data mining. The clustering criteria are summarized. The research status and progress of five traditional clustering algorithms are summarized comprehensively. Some new clustering algorithms are used. By combing, according to the sample attribution relationship, sample data preprocessing, sample similarity measure, sample update strategy, sample high-dimensionality and fusion with other disciplines, nearly 20 new algorithms in clustering, Such as granular clustering, uncertain clustering, quantum clustering, nuclear clustering, spectral clustering, clustering integration, concept clustering, spherical shell clustering, affine clustering, data stream clustering, etc., respectively Generalization.)