FreeTree

键盘任意输入一组字母或数字生成无序数组，对数组按ASCII顺序进行排序（排序要求至少用两种排序算法），再从键盘输入一个值进行二分查找，返回查找成功或者失败的信息(Keyboard input and a group of letters, or any number of arrays, and generate disordered array sort order according to the ASCII at least two requirements (sort of), sorting algorithms from the keyboard input a value dichotomy, returns to find success or failure of the information)

简单选择排序，这是个解决排序问题的一个算法模型之一。(Sort simple choice, this is a solution to a scheduling problem, one algorithm model.)

这是一个二叉树左右子树交换的简单程序，希望对大家有用！(This is a binary tree so the simple sub-tree exchange procedures in the hope for all of us!)

大学计算机专业，数据结构中的改进的KMP算法，C++编写。(University computer science, data structures to improve the KMP algorithm, C++ written.)

这个是C++编译的单链表，其中包括多种链表操作，是很好的学习资料。(This is a C++ compiler single linked list, which includes a variety of linked list operations, is a good learning materials.)

数据结构的课程设计，做的是一个交通查询，主要用到图的算法，和大家共享，欢迎指正！(Data structure curriculum design, do a query traffic, mainly used graph algorithms, and share, please correct me!)

包括链表的各项操作，添加、删除、修改等。还包括单项连标和双向链表。(including the operation, add, delete, revise. Also including individual targets and even two-way linked list.)

c语言编写链式线性表的初始化，创建，插入删除等操作。(c language chained linear table is initialized, create, insert and delete operations.)

USACO中的American heritage，用C++编写，运用了树的遍历知识(the American heritage of USACO, with C++ prepared, using a tree traversal knowledge)

说明：  贪心方法是一种改进了的分级处理方法。它首先根据题意，选取一种量度标准。然后按这种量度标准对这n个输入排序，并按排序一次输入一个量。如果这个输入和当前已构成在这种量度意义下的部分最优解加在一起不能产生一个可行解，则不把此解输入加到这部分解中。这种能够得到某种度量意义下的最优解的分级处理方法称为贪心方法。(greedy method is an improvement of the classification methods. According to its first title Italy, and a selection of standards of measurement. Then, under such a standard measure of this sort n input, with an input an order volume. If the input current and constitutes a measure of significance in this part of the optimal solution together not produce a feasible solution. this solution will not put this added to the importation of decomposition. This can be a meaningful measure of the optimal solution hierarchical method, known as greedy method.)