Calender

编程 主范式 使用真植表 用栈的应用 使用了 后缀表达式 (biancheng zhu fanshi)

数值计算方法中高斯主元素消元法 在vc环境中运行 用于解方程组(Numerical methods in the Gaussian elimination method, the main elements of the environment in vc run for the solution of equations)

哈希表 数据结构课程设计 1.1问题描述 针对自己的班集体中的“人名”设计一个哈希表，使得平均查找长度不超过R，完成相应的建表和查表程序。 1.2基本要求 假设人名为中国姓名的汉语拼音形式。待填入哈希表的人名共有30个，取平均查找长度的上限为2。构造哈希函数，用链表法处理冲突。 1.3测试数据 读取熟悉的30个人的姓名作测试。(Hash table Data Structure Course Design 1.1 Description of the problem For their own class group of the "names" to design a hash table, making the average search length does not exceed R, the completion of construction of tables and look-up table corresponding procedures. 1.2 Basic requirements Assuming the name of the person called Chinese pinyin form. To be filled into a hash table names a total of 30, taking the average search length of the upper limit of 2. Construct a hash function, treatment with a list of conflict. 1.3 Test Data Read the familiar names of 30 individuals tested.)

设有一头指针为L的带有表头结点的非循环双向链表，其每个结点中除有prev（前驱指针），data（数据）和next（后继指针）域外，还有一个访问频度域freq。在链表被起用前，其值均初始化为零。每当在链表中进行一次Locate(L,x)运算时，令元素值为x的结点中freq域的值增1，并使此链表中结点保持按访问频度非增（递减）的顺序排列，同时最近访问的结点排在频度相同的结点的最后，以便使频繁访问的结点总是靠近表头。试编写符合上述要求的Locate(L,x)运算的算法，该运算为函数过程，返回找到结点的地址，类型为指针型。(Has a head pointer is non-circular doubly linked list L with a header node, each node in addition to prev (precursor pointer), data (data) and next (successor pointers) outside, there is an access frequency degree domain freq. Before the list was hired, their values are initialized to zero. Whenever carried out in the list once Locate (L, x) when the operation, so that the element node x is the value in freq domain by one, and keep this list in the node-access frequency of non-increasing (decreasing) the order, while a recent visit to the nodes in the same row of the frequency of the last node, so that the nodes are frequently accessed tables are always near the head. Locate (L, x) algorithm is prepared in accordance with the above requirements of the test operation, the operation as a function of the process, return to find the address of the node of type pointer.)

数据结构中基于约瑟夫环问题，用C++方式实现的。。。。。(Data structure based on Josephus problem with C++ a manner. . . . .)

设计、编写和调试面向对象C++程序，实现任意两个同类数据比大小 的通用函数（模板），涵盖普通数值型数据之间的比较、两个字符串之间的比较 （按字典序）、两个复数之间的比较（按模大小）等，并通过主函数加以调用和 测试。(Design, writing and debugging of object-oriented C++ procedures to achieve similar data than the size of any two generic functions (template), covering general comparison between numerical data, the comparison between the two strings (lexicographically), two Comparison between complex numbers (modulo the size), and through the main function to be invoked and tested.)

采用Dijkstra算法和Floyd算法实现的简单医院选址系统(data structure)

自己编写的floyd 最短距离求解程序。实用简单。gcc (Floyd shortest distance to write your own solver. Practical and simple. gcc)

本程序是用c语言编写的在800位整数之间的乘积运算(This procedure is written in c the 800 integers in the product operation between)

数据结构算法集锦：包括大量常用算法，如求两数的最大公约数、素数的求法、Prim算法、Kruskal算法、最短路径、Dijkstra 算法、排序相关算法、高精度计算相关算法(algorithm data structure highlights include : large common algorithms, such as for the number two majors, for the prime numbers, Prim algorithm, Kruskal algorithm, the shortest path, the Dijkstra algorithm, scheduling algorithms, high-precision calculation algorithms, etc.)