131-DSDT Patcher GUI

The source code of aovdv routing protocol . used to construct route between sendr and reciver

球队队员的管理，包括球员年龄，身高，体重的统计，工资派发-The management of players, including players age, height, weight statistics, the distribution of wages

先定义各个失效模式下的刚度矩阵，如基体拉伸失效就定义dagmatrix（nblock），按照你的退化方式用if语句判断，符合条件就把相应刚度赋予折减后的值(Define the stiffness matrix of each failure mode first, if the matrix tensile failure defines the dagmatrix (nblock), according to your degradation mode judged by if statement, accord with the conditions of the corresponding stiffness given reduced value)

为初学者提供MFC程序设计的试验方法和部分知道-MFC for beginners program designed to provide test methods and some know

说明：  利用泊松过程，实现泊松点过程和泊松簇过程(Poisson point process and poisson cluster process are realized by poisson process)

加性高斯白噪声信道下，OFDM系统仿真程序，调制方式为16QAM-additive white Gaussian noise channels, OFDM system simulation program, the modulation method for 16QAM

说明：  2019年中鸣超级轨迹赛马达控制例子程序(Example program of motor control for Zhongming Super Track Race in 2019)

说明：  通过布谷鸟群算法对设定的多个目标进行优化，并最终获得分布式电源的最优选址定容(Through the CUCKOO swarm algorithm to optimize the set of multiple objectives, and finally obtain the optimal location of distributed generation capacity)

MATLAB初学者 介绍了MATLAB 的一些基本使用方法-MATLAB for beginners introduces some basic use MATLAB

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.)