shopping-question

插入排序与合并排序的算法比较，比较两种算法的优劣(Comparison of insertion sort and merge)

已知线性表中的元素以值递增有序排列，并以单链表作存储结构。试写一高效的算法，删除表中所有值大于mink且小于maxk的元素（若表中存在这样的元素）同时释放被删结点空间，并分析你的算法的时间复杂度（注意：mink和maxk是给定的两个参变量，它们的值可以和表中的元素相同，也可以不同）。(Known linear elements in the table to the value increments ordered, and a single list for the storage structure. Try to write a highly efficient algorithm to delete all values ​ ​ greater than mink and maxk elements smaller than (if there is such an element in the table) while the release of the deleted node space, and analyze your time complexity of the algorithm (Note: mink and maxk is given two parameters variables, their values ​ ​ and elements in the table can be the same or different).)

总结了10种排序的方式。用代码加以实现。(the ten way of Line up a preface)

该ppt包含了栈和队列的数据结构及基本操作，同时还有栈的举例(This ppt contains the stack and queue data structure and basic operation, as well as examples of the stack)

说明：  一个实现外部排序的程序，其中gnerate.cpp为产生一个随机的文件，用于被排序。而caculate.cpp为外部排序程序。(A realization of the external sort program, which gnerate.cpp to generate a random file for be sorted. The caculate.cpp external sort program.)

最短路径算法。 用无向带全图的邻接矩阵存储图，确定从源点出发到其它各点的最短路径。 输入：图中包含的顶点数n 边数m， 各边权值，用邻接矩阵或者邻接表存储。 输出：源点到其它各点的最短路径值。(Shortest path algorithm. Adjacency matrix storage with undirected graph with a full figure, determine the starting point of the shortest path from the source point of each other. Input: Vertices figure included n the number of edges m, the weight of each side, with the adjacency matrix or adjacency table storage. Output: source shortest path to value each other points.)

数据结构的稀疏矩阵的几部分操作，广工的课程设计(Sparse matrix operations)

二叉树的操作，涉及到三种顺序的遍历，树的凹入表示法，转化为一维数组储存，节点的计数，以及中序线索化。(Binary operation, involving three kinds of the order of traversal, tree concave representation into a one-dimensional array of storage, the node count, as well as in the threaded sequence.)

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)

数据结构中链式队列和堆栈的循环用法，非常有用(Queue data structure in the chain and the cycle stack usage, very useful)