一个java东西，是不错的。 再Jcreator 下编译过，看看就知道了．...

简单的模拟DNA配对的程序，适合初学者，使用c++编写-Simulation of simple DNA matching procedures, suitable for beginners, using c++ to prepare

游泳个小程序合计可以看看尽量不要让站长把时间都花费在为您修正说明压缩包解-Swimming together a small program that enables website owners can see as far as possible not to spend the time you correct description for the compressed package solution

实现实包络对齐。采用插值，拟合处理。更加精确的对齐-To achieve solid envelope alignment. Using interpolation, fitting handle. More accurate alignment

基于matlab的简单一元函数优化实例,对初次学习mabtlab函数优化者会有很大帮助-simple one yuan function optimization example, mabtlab the initial learning function optimization who will be of great help

this very good application for face traccking.it contains more and good differnt features.if u rotate face right side it will show the direction for rignt side.if u rotate face left side it will show the direction for left side.-this is very good application for face traccking.it contains more and good differnt features.if u rotate face right side it will show the direction for rignt side.if u rotate face left side it will show the direction for left side.

基于卡尔曼滤波的道路目标检测与跟踪研究，采用交互多模(IMM)算法

北大青鸟ACCP课程S2项目案例2影院售票系统-Beida Jade Bird project ACCP courses S2 cinema ticketing system Case 2

网上AVI转YUV还真不少,就是不简单,我的这个算是很简单的了-AVI to YUV online a lot really is not simple, my this is a very simple

实现二值化，当像素值（r+g+b）/3>128时设为255,当像素值小于128时设置为0.做归一化处理后，2值化的颜色 1为白，0为黑。边缘部分，计算有误差，255,254,253,252 就算白，0，1，2，3，4就算黑。屏幕显示时，肉眼是分辨不出这点误差的。你可以对2值化后的图像值作归一化处理，得到1和0，然后再放大（乘255），就可得到满意的数值。至于左边界上 1 254 253， 0 255 255，可能是2值化前，颜色原本就有差别。不是2值化的错误。

一个把十进制数转换成罗马数字的例子--Example which transforms digits from decimal to roman numeral