learn4

平衡二叉树操作的演示 一、 需求分析 （1） 利用平衡二叉树实现动态查找表。实现查找，插入和删除三种基本功能。 （2） 初始，平衡二叉树为空树，操作界面给出查找，插入和删除三种操供选择。每种操作均要提示输入关键字。每次插入和删除一个接点时，显示更新的平衡二叉树。 （3） 重点在于对删除算法的实现。假设要删除的关键字为X的结点，若X不在叶子结点上，则用左子树中的最大值或者右子树中的最小值取代X。如此反复，直到删除动作传递到某个叶子结点，删除叶子结点时，若要进行平衡变换，可采用插入的平衡变换反变换。 -balanced binary tree operation of a demonstration, demand analysis (1) using a balanced binary tree dynamic lookup table. Lookup, insertion and deletion of the three basic functions. (2) The initial, balanced binary tree is empty tree interface gives you insert and delete options for the three parade. Each operation will have to be me to input keywords. Each insert and delete a contact in that update balanced binary tree. (3), the focus is on the deletion algorithm. To remove the assumption that the keyword for the X-Node, if X is not the leaf nodes, Left-used for the highest tree or right-tree to replace the minimum X. So repeatedly, until the deletion of a transfer leaf nodes, delete the leaf nodes, if balancing transform, Ins

说明：  RNN网络调参练习用文件，框架已搭好(RNN parameter adjustment exercise document, the framework has been set up)

说明：  利用有限差分法求解雷诺方程，效果非常好，需要的同学可以自己下载！(Using the finite difference method to solve the Reynolds equation, the effect is very good. Students who need it can download it by themselves!)

说明：  mysql集群多主同步教程, 集群配置必要的文档参考。(MySQL Cluster multi-master synchronization tutorial)

说明：  可以判断数据的实时性，处理数据的格式，将gis、dat数据转换成xls或科傻in1数据，并且自动添加转点(It can judge the real-time of data, process the format of data, convert GIS and dat data into XLS or kesain1 data, and automatically add transfer points)

学习linux的好文档,linux网络命令，很有用处,对学习linux.-learning linux good documentation, linux network orders, useful, to learn linux.

本文件为瓜大C实验大作业，作业为学生选课系统，可以作为第二个大作业,需要者自取(This file is NPU C homework, it is useful for these people who need it)

用低级c语言打印文字,意思就是不用printf打印文字(use lower level C to print out a string)

本资料介绍了PSCAD软件里面的 光伏发电系统工作原理及仿真和风力发电系统工作原理及仿真 。(This information is based on the principle and Simulation of photovoltaic power generation system in PSCAD software and the working principle and Simulation of wind power generation system.)

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.)