melp PC定点算法

本代码是使用米勒拉宾算法对一个数是否为素数作出判断，综合运用了费马小定理，卡米尔歇数的性质，卡米尔歇数的考赛特判别法的数学方法，拉宾米勒素数测试算法是一个不完全准确的算法，当然，底数a数组取数越多，测试的准确率越高

商品库存管理系统，C 语言，具有完整的系统设计

用opencv的方法实现的人脸识别，通过用opencv自带的分类器实现对人脸的识别，本人已试验过，可以实现对图片中正脸和侧脸的多角度识别，而且还可以改变一下实现对视频中或者是摄像头前的人脸识别，代码仅供参考

用于链表数组堆栈课程设计，作为一个模板以供使用。调试结果显示符合要求。

详细龙贝格算法设计-detailed algorithm design

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

这是一个求解数学问题：半径计算圆的周长和面积-This is a mathematical problem solving : Radius calculated the circumference of a circle and area

随着人类基因组计划的实施，通过基因组测序，蛋白质序列测定结构解析等实验，分子生物学家提供了大量的有关生物分子的原始数据，需要利用现代计算技术对这些原始数据进行收集、整理、管理以便于检索使用。而为了解释和理解这些数据，还需要对数据进行比对、分析，建立计算模型，进行仿真、预测与验证，因而出现生物信息学，它的出现，极大的促进了分子生物学的发展。-With the human genome project implementation, through genome sequencing, protein sequencing experiments such as structural analysis, molecular biologists to provide a large amount of biological molecules of the original data, the need to use modern technology to these raw data collection, collation and management in order to facilitate retrieval use. To explain and understand these data, and data need to be compared to analysis, model, simulation, prediction and validation, therefore, bioinformatics, and its emergence has greatly promoted the development of molecular biology.

项目包括一个测试实施的Goertzel算法频率的认可。说明：给出的主导间距为给定的选择视觉逼近。你可以得到相当准确的读数清洁或中档合成的信号，但仍可能会遇到不准确的较低的低音频率或更复杂的信号。包括一个可调节的滚动条来估计一波剪辑的平均节奏。选择样本的足够数目（约2000至4000）。首选的.wav格式为16位，44100千赫，单声道/立体声。

带有测试数据的蚁群算法，可以指定检测区域的大小，经过测试，可以运行，有需要的可以看看。