详细的矩阵类的运用，加法，经调试过，可用

关于数据挖掘中决策树经典算法的C4.5算法，此算法适用于任何的符合结构的决策问题，此算法用C语言写，里面涉及了C语言的高级用法，对C要精通，才能轻松应对相关代码。代码里也做了较详细的代码注释，方便阅读者使用查看。

点到线段距离，在进行画图时，在选择线时有重要作用，-Point to a line distance

XPObject对象

迷宫电脑鼠控制算法，主要包括电机驱动程序，传感器驱动程序，电脑鼠的寻路算法

常用数值算法大全，包扩各种算法，大家共享-Numerical algorithm used Daquan, including widening of various algorithms, everyone shared

矩阵分解的C语言实现，包括LU分解，QR分解，household分解以及givens分解；QRfactorization.cpp：QR分解源码LUfactorization.cpp:LU分解源码Household reduxtion:household分解源码GivensReduction：Givens分解源码start.cpp：main函数ReadFile.cpp：从文件中读取矩阵内容

详细表述了分数阶傅立叶变换的离散实现，将现有的算法进行比较。-In this note we make a critical comparison of some matlab programs for the digital computation of the fractional Fourier transform that are freely available and we describe our own implementation that lters the best out of the existing ones. Two types of transforms are considered: First the fast approximate fractional Fourier transform algorithm for which two algorithms are available. The method is described in H.M. Ozaktas, M.A. Kutay, and G. Bozdagi. Digital computation of the fractional Fourier transform. IEEE Trans. Signal Process., 44:2141{2150, 1996. There are two implementations: one is written by A.M. Kutay the other is part of package written by J. O Neill. Secondly the discrete fractional Fourier transform algorithm described in the master thesis C . Candan. The discrete fractional Fourier transform, Bilkent Univ., 1998 and an algorithm described by S.C. Pei, M.H. Yeh, and C.C Tseng: Digital fractional Fourier transform base

这是人工蜂群蚁群算法 matlab m 文件。这种优化算法由德尔维什 Karaboga.The algortihm 非常简单，它是非常有用。

应用背景模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中，模糊C-均值( FCM) 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的。关键技术改进的FCM算法，FLICM：Image segmentation based on local fuzzy C-means clustering algorithm

poj1915求移动棋子到特定位置的最少次数,BFS经典题目-poj1915 for mobile pawn to a specific location of the minimum number, BFS Classic Title