Monkeys-and-peach

这是BFS算法的实现。用C语言实现的。好好学习吧。(This is achieved BFS algorithm. Implemented using C language. Learn it.)

使用VC编写的约瑟夫环程序，简单明了，方便使用(Prepared using the VC Joseph Central program, simple and clear, easy to use)

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)

迷宫问题，利用随机数自动生成迷宫，并自动进行探索。迷宫起点及终点由用户自己设定。(Maze problem, the use of random number automatically generated maze, and automatically explore. The starting point and end point of the maze is set by the user. 双语对照 )

常在该网站下载资料，也想分享些材料上去，这个资料是FRFT算法(Often the site to download information, but also want to share some material up, this information is FRFT algorithm)

Monkeys and peach,Monkeys and peach(Monkeys and peach)

Dijlstra算法 对任意图，选择合适的数据结构表示图，在此基础上实现求解最短路径的Dijkstra算法(Dijlstra algorithm to arbitrary map, select the appropriate data structures that map, on this basis to achieve solution of the Dijkstra shortest path algorithm)

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.)

阿当姆斯显式和隐式求解方法，用四阶龙格库塔作为起始，然后运用四阶阿当姆斯算法求解初值问题。主要程序包含在test2.cpp中，方法简单易懂。编译环境VC2010(Adam James explicit and implicit method for solving fourth-order Runge-Kutta as a start, then use the fourth-order A Williams algorithm for solving initial value problem. The main program contains in test2.cpp method is simple and easy to understand. Compile environment VC2010)

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.)