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The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.

自适应滤波中最常见的滤波算法，LMS算法，适用于初学者(Adaptive filtering is the most common filtering algorithm, LMS algorithm, suitable for beginners)

LMS自适应滤波器的算法仿真 自适应滤波器输出 , 预期输出 , 误差(LMS adaptive filter)

ARCOBJECTs开发指南,实例的资源文件(ARCOBJECTs Development Guide, a resource document for example)

一个很好的KNN算法的matlab程序，供参考(it is a good program writting with matlab under windows)

front tracking method for free surface or structure movement.

genetic algoritm placement

quad copter design and simulation

线性调频脉冲压缩的Matlab程序,是机器学习的例程，基于互功率谱的时延估计。( LFM pulse compression of the Matlab program, Machine learning routines, Based on the time delay estimation of power spectrum.)

利用扩展混合有限方法求解双曲型方程的matlab算法(Using the extended hybrid finite method for solving hyperbolic equations matlab algorithm)