Differential Evolution Strategy C++ source code. The algorithm is to find an opt...

蚁群算法来解决车辆路径问题AS-VRP，编程环境是matlab,蚁群算法很好的解决了关于车辆路径问题和与之相关一类像调度问题。指派问题等 用C＋＋编写，专门用来求解车辆路径问题

Gauss_Seidel迭代-Gauss_Seidel

二进制文件值转换为文本文件-binary files are converted to text files

unlike kalman filter this filter is more suitable to deal with nonlinear data types. the source code is of omnet++ simulators. which contains a c++ file and other two files is used for network description and the general initialization files.

遗传算法的程序实现，包括随机数产生，初始化种群，适应度计算，种群排序，反馈式突变选择、交叉、变异等步骤组成。 使用中自行调节适应度函数。

采用背景差分法，用混合高斯背景建模，检测视频车辆，并显示视频的背景和前景。

函数连分式的计算-function even fractional calculation

matlab fftn.m 在matlab中开发的 .m源程序-matlab fftn.m in matlab developed. m source

用一观测器从t=1秒开始对一个运动目标的距离进行连续地跟踪测量，假设观测的间隔为一秒钟，雷达到运动目标之间的距离为S(t)（1） 统计特性的初值为 （2）观测误差是与和均不相关的白噪声序列，并且有 （3）观测数据存放在附加的文件中（单位：m）。 要求：分析上述对象，建立系统模型，构造卡尔曼滤波器，编程计算，求： （1） 距离S(t)的最佳估计及估计误差， （2） 距离S(t-5)的最佳平滑及估计误差， （3） 距离S(t+5)的最佳预测及估计误差， （4） 对结果进行分析讨论。 -By one observer from the t = 1 PST on a moving target tracking for distance measurement, assuming that the observation interval is one second, the radar that the distance between the moving target for the S (t) (1) the statistical characteristics of the initial condition (2) observational error is not associated with white noise sequence, and (3) observational data stored in the attached document (unit: m). Requirements: Analysis of the above-mentioned object, the establishment of the system model, constructed Kalman filter, programming terms, seeking: (1) distance from S (t) the best estimate and the estimation error, (2) distance from S (t-5) the most good smoothing and estimation error, (3) distance from S (t+ 5) t

FIR数字滤波器的设计，C语言实现，可以直接运行