simple algorithm standard procedures, we will be able to meet the need.

生成密码的程序，按照升序模拟不同进制的加法运算。-generated password procedures, in accordance with the simulation of different band ascending the addition operations.

大多数算法用于跟踪视频中的对象由两个部分组成： 被跟踪对象的动力学模型和它的外观模型。外观模型是经常跟踪，也许从训练图像之前建造，然后用作-时，跟踪测试序列。 如果测试序列中不包含的对象或照明条件下，不确切地匹配那些训练数据的外观吗？通常情况下，追踪与固定的外观模型将在这些情况下表现不佳。 在这个项目中不能使用期间跟踪增量改进目标的子空间外观模型来提供了新的外观信息。这种算法的关键是一种新的增量算法为 PCA，允许高效的子空间更新。

密码学中 enigma算法的 c语言实现 原理清晰-Enigma cryptography algorithm implementation of the principles of clear language c

计算机模拟中的数值算法，对于牛顿运动方程-Summary on Some Numerical Methods for Newton’s Equation of Motion

大数运算,效率非常高,很有收藏价值,值得你下载!-Computation of large numbers, efficiency is very high, very collectible, it is worth your download!

货郎担 分枝限界算法图形求解货郎担问题的分枝限界算法图形演示-traveling salesman Branch and Bound graphics algorithm to solve the traveling salesman problem Branch and Bound algorithm graphic demonstration

纯惯性导航解算程序，结果很好，有四种不同的解算方法，参考了四种不同的书中的捷联解算方法。

设计一个图形用户界面,利用下表的数据,设计窗体界面来演示数据插值,在窗体界面上分别演示线性插值和三样条插值在每分钟内每隔的秒数,钢轨每隔米不同长度处.这两个参数由用户输入,绘制改变插方法,和改变参数后的图形输出.并用”选项”菜单控制:网格开关,图例开关,色度空间.-matlab

(Genetic Algorithm Based K-means algorithm, related program and algorithm description.)

应用背景On the Design of ZF and MMSE Tomlinson-Harashima Precoding in Multiuser MIMO Amplify-and-Forward Relay System,it is main described the mimo system in the multi-user  scenario.the main precoding algrithm is combined the zf precoding and the MMSE precoding.关键技术we design a zero-forcing (ZF) Tomlinson-Harashima precoding (THP) and a minimum mean square error (MMSE) THP for multiuser MIMO relay system with direct link. Based on these precoding structures, we propose the optimal combining weights of the ZF THP and the MMSE THP in half duplex relay system, and the sub-optimal weights of MMSE THP to reduce feedback channel state information(CSI). Through the Monte Carlo simulation, we verify that the optimal weights combining method outperforms the constant weights combining method. In addition, we confirm that the performance of the sub-optimal weights combining method is&