几个算法程序，如矩阵算法

购物商场中模拟排队的程序-Program which simulates shopping queues

BFS 算法的实现在 c / c + +。我t 也打印派生的最短路径的路径

I have developed a serial of resampling methods for particle filtering in Matlab as attached below in separate .m files that you may have interest and that you may have better implementation than me, or if you have any question, your feedback will be appreciated.  These resampling methods together with their pseudo-codes

此源代码借助opnet平台实现了固定TDMA协议，对于学习opnet的初学者来说这是一个很好的例子，比较全面的涉及了opnet的方方面面。

数值分析实验报告-report

简单的控制台下的猜数字游戏，适合初学编程的人学习一下基本编程和基本算法，游戏规则为随机生成一个数待猜，0~9可重复，共最多五次机会，每次猜后会给出每一位的对错信息，如果该位数字猜对则显示o，数字对但位置不对则为^，没有这个数字则为x，程序循环执行，直至关闭退出，VC6.0，WIN7下编译通过

Polynomial fit functions === === RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with the complexity of your problem.-Polynomial fit functions === === === === RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with the complexity of your problem.

迷宫路由算法试图找到在迷宫中单丝的两个点之间的最短路径，如果存在这种路径。在此方案中的源单元格将消息发送到它的四个邻国。消息传播到其他节点的波的形式。到达目的地的第一波前面确定的连接路径。在这种算法有两个阶段。在第一阶段节点都与他们的距离从源头的标签。在下一阶段的距离都用于跟踪从接收器到源选择与源的最小距离的路径。一般路由问题的一种方法是区域路由， 这是一单阶段的路由技术。 迷宫路由算法表示路由层作为一个网格，在那里每个差分可以包含到相邻的被连接。它搜索的源和目标节点之间的连接通过执行广度优先搜索和标签及其来源的距离每个网格点的最短路径连接。如果连接是可能的这种扩张阶段将最终会到达目标节点。然后第二次的攻击源追踪阶段通过以下任何路径与降低标签形成连接。这种算法被保证能够找到源和给定连接的目的地之间的最短路径。然而，当多个连接发生了一个连接可能会阻止其它连接

平衡二叉树的详细实现，C++语言，自己动手编程实现的。平衡二叉树有着良好的性质，其任何结点的左右子树高度差都不大于二，使得其最差搜索时间大大减少

基本矩阵运算 : + - *, power, transpose, trace, determinant, minor, matrix of minor, cofactor, matrix of cofactor, adjoint, inverse, gauss, gaussjordan, linear transformation, LU decomposition , Gram-Schmidt process, similarity. b) Basic vectors functions : norm, distance, innerproduct,coldim, rowdim, rank, nullity. *-basic matrix calculation :-*, power, transpose, trace, determinant, minor, matrix of minor, cofactor, the matrix of cofactor, adjoint, inverse, Gauss, gaussjordan, linear transformation, LU decomposition, Gram-Schmidt process, the similarity. B ) Basic vectors functions : norm, distance, innerproduct, coldim, rowdim, rank, nullity.*