线性方程组求解模板,包括求解线性方程组的各种算法

字符串近似匹配PEX算法（又称k+1分片算法），查找出模式串在目标串中所有近似匹配位置。算法中使用了一种多字符串匹配算法MultipleBNDM，代码也已提供。-PEX,String approximately matching

改进的蚁群算法程序-improved program of ant conoly algorithm

编译原理中的正则式匹配算法-compiler principles of regular-matching algorithm

I have developed a serial of resampling methods for particle filtering in Matlab as attached below in separate .m files that you may have interest and that you may have better implementation than me, or if you have any question, your feedback will be appreciated.  These resampling methods together with their pseudo-codes

农夫过河的扩展，如一个农夫带5件物品，每次带2件-farmer expansion of the river, such as a farmer with five items, each with two

崭新矢量机SVM源码，IEEE上发表，技术有一定帮助-New vector machine SVM source, IEEE published, technology has certainly helped

统计模块的 C++源程序 ,可以用来计算统计数据.　-Statistics module C++ Source can be used to calculate the statistics.

压缩解压缩非常快，80m的bmp压缩只需200ms,解压缩不到100ms,软件只提供参考，不做商业用途！

用并行编程语言MPI编写整数加法程序。

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