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资源描述在matlab中，inv（）函数一一个自带十分快速的求逆的算法，但是在matlab中是不公开的，为了方便，本程序将INV（）函数做出C++代码方便用户的使用。

本代码主要实现了基于89c52单片机实现矩阵键盘的程序，主要体现了分为横扫描以及竖扫面的主体思想，实现对矩阵键盘的控制，并结合数码管的显示来验证此程序的正确性。在使用此程序之前，要人为的去修改硬件资源程序部分，使之程序的思路是根据此程序来的，但是具体的硬件资源是根据手里所有的开发板来进行修改的，这样可以很好的适合于每个平台。此代码为c代码有很好的移植性以及易懂性

跳房子游戏-Rainy Game

最大间距问题，计算机算法设计与分析。计算一组随机数据，任意两个数据之差最大值，而且时间复杂度为线性。

动态矩阵的加，减，乘法实现的类，使用模版，完全原创（经过测试)-dynamic matrix, plus or minus, multiplication achieve category, the use of templates, completely original (tested)

高斯赛德尔逆矩阵算法类-high Shisaideer inverse matrix algorithm category

生物信息学里一个比较经典的题目，预测一段ＲＮＡ序列可能的二级结构，用”点—括号“表示两个碱基配对与否。用的算法是traceback(?)，应该是这个名字。

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平均因子分解法，适用于正定矩阵First, let s recall the definition of the Cholesky decomposition: Given a symmetric positive definite square matrix X, the Cholesky decomposition of X is the factorization X=U U, where U is the square root matrix of X, and satisfies: (1) U U = X (2) U is upper triangular (that is, it has all zeros below the diagonal). It seems that the assumption of positive definiteness is necessary. Actually, it is "positive definite" which guarantees the existence of such kind of decomposition. -Average factor decomposition method applied to positive definite matrix First, let s recall the definition of the Cholesky decomposition: Given a symmetric positive definite square matrix X, the Cholesky decomposition of X is the factorization X = UU, where U is the square root matrix of X, and satisfies: (1) UU = X (2) U is upper triangular (that is, it has all zeros below the diagonal). It seems that the assumption of positive definiteness is necessary. Actually, it is positive

基于MATLAB的语音识别系统程序，包括HMM,DTW,Record三个matlab的M文件。这个工具包主要计算音乐拍子，里面还有计算音乐信号能量，基音频率等功能。