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用Visual C++编写的实现HDF文件的源代码，根据该代码可实现hdf遥感图像的读取和保存(Using Visual C++ implementation of the HDF file to prepare the source code, according to the code of the implementation of remote sensing image hdf read and save)

12306 旧版本抢票软件,抢票软件源码(ticket )

根据测回法测得的角度进行计算使得角度的误差变得更小(According to the angle measured by the method of measurement, the angle error becomes more accurate.)

一个.net下的Remote进程管理工具--A management tool of Remote progress under .net

一个VC发送邮件的例子代码-a VC mail code examples

一个可以用于实现手机日历功能的java小程序，自带了一个演示(Can be used to realize a function of the phone calendar java applet, bring a demo)

该代码能够实现蓝牙设备的搜索，根据搜索到的蓝牙地址，实现配对，连接。-The code enables Bluetooth devices to search, according to search for Bluetooth address, to achieve matching, connection.

说明：  C语言轻松入门的好材料，解释详细，步骤清晰，手把手叫你学习C++(C good material for easy entry, explain in detail, the steps clear, hands tell you to learn C++ )

LabVIEW编写的字模显示工具，可以直观地表示汉字。(Written in LabVIEW font display tools, you can visually express Chinese characters.)

zoj094 Matrix multiplication problem is a typical example of dynamical programming. Suppose you have to evaluate an expression like A*B*C*D*E where A,B,C,D and E are matrices. Since matrix multiplication is associative, the order in which multiplications are performed is arbitrary. However, the number of elementary multiplications needed strongly depends on the evaluation order you choose. For example, let A be a 50*10 matrix, B a 10*20 matrix and C a 20*5 matrix. There are two different strategies to compute A*B*C, namely (A*B)*C and A*(B*C). The first one takes 15000 elementary multiplications, but the second one only 3500. Your job is to write a program that determines the number of elementary multiplications needed for a given evaluation strategy. (Matrix multiplication problem is a typical example of dynamical programming. Suppose you have to evaluate an expression like A*B*C*D*E where A,B,C,D and E are matrices. Since matrix multiplication is associative, the order in which multiplications are performed is arbitrary. However, the number of elementary multiplications needed strongly depends on the evaluation order you choose. For example, let A be a 50*10 matrix, B a 10*20 matrix and C a 20*5 matrix. There are two different strategies to compute A*B*C, namely (A*B)*C and A*(B*C). The first one takes 15000 elementary multiplications, but the second one only 3500. Your job is to write a program that determines the number of elementary multiplications needed for a given evaluation strategy. )