Strassen-code

数据挖掘中聚类算发中基于密度的算法DBSCAN(Hair count data mining clustering algorithm DBSCAN density-based)

最优二叉搜索树问题具有最优子结构性质，即其任意一棵子树都是一棵独立的最优二叉搜索树，所以可以采用动态规划方法，并且在每次更新时保存子树的根。(Optimal binary search tree problem has optimal substructure property that any of its sub-tree are an independent optimal binary search tree, so you can use dynamic programming methods, and save each update subtree roots.)

红黑树 二叉树 性能比较分析 红黑树 二叉树(Red-black tree binary tree performance analysis,)

说明：  设计济南大学校园平面图，所含的景点不少于10个。以图中顶点表示校内各景点，存放景点名称、代号、简介等信息；以边表示路径，存放路径长度等相关信息。 为来访客人提供图中任意景点相关信息的查询。 为来访客人提供图中任意景点的问路查询，即查询任意两个景点之间的一条最短的简单路径。 选作内容： 求校园的关节点。 提供图中任意景点查询，即求任意两点间的所有路径。 校园导游图的景点和道路的修改扩充功能。 扩充道路信息，如道路类别，沿途景色等级，一直可按客人所需分别查询人行路径或车行路径或观景路径。(Design jinan university campus plan, contains at least 10 spots in each vertex said in scenic spots, deposit attractions at the information such as the code name introduction On the path, deposit path length said related information )

数据结构，利用霍夫曼树实现文本数据的压缩。(Huffman data compression and decompression.)

使用的排序算法，非常不错的思维，比较其他有较大优势(Sorting algorithm used, very good ideas, have greater advantages compared with other)

随机函数产生10000个随机数，用快速排序、直接插入排序、冒泡排序、选择排序的排序方法排序，并统计每一种排序所花费的排序时间和交换次数。其中随机数的个数由用户定义，系统产生随机数。(Random function generates 10,000 random numbers using quick sort, insertion sort, bubble sort, select Sort sort Sort, and statistics for each sort spend the sort of time and the number of exchanges. Wherein the number of the random number defined by the user, the system generates random numbers.)

无环连通图G=(V, E)亦称为自由树T，其直径是树中所有顶点之间最短路径的最大值，设计一个算法求T的直径(Acyclic connected graph G = (V, E) is also known as free tree T, whose diameter is the tree of shortest paths between all vertices maximum design an algorithm for the diameter of T)

数据结构中图的存储结构的建立与搜索 建立图的二种存储结构 在不同的结构上实现遍历 (Data structure diagram of the storage structure of the establishment of the search to establish two kinds of graph storage structure in the different structures to achieve through)

各种排序的模板实现，并分析了各种实现的时间复杂度及改进办法(Templates of various sort, and analyze the time complexity of the various implementations and ways to improve)