mysusan

ora code is usefull apart with the codes sent above

在matlab中实现关于logistic映射的混沌序列的仿真(the realise of chaos sequence in matlab)

用蒙特卡洛方法获取标准正态分布的伪随机数(Generate n samples from a normal distribution)

说明：  基于想要的主成分数量和精确度，采用matlab的pca函数进行主成分分析(Based on the desired principal component and accuracy, PCA function of MATLAB is used for principal component analysis)

说明：  人和座椅的汽车3自由度振动系统，simulink工程文件(And seat of the car-degree-of-freedom vibration system, simulink project file)

机器人控制系统的设计与Matlab仿真--第五章代码 (Robot Control System Design and Matlab simulation- Chapter V code)

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.

图像稀疏表示近来比较流行!本文是一篇基于k-svd方法变换的快速方法的经典文章！(Image sparse representation of the more popular lately! This article is based on a quick way to change the method of k-svd classic article!)

说明：  是水平集模型中的Chan_vese的数值求解中的斜率几种求法，值得借鉴(Is the level set model Chan_vese of the numerical solution of several in the slope of the demand law, it is worth drawing)

各种matlab经典算法，包括数据分析，解方程，绘图，规划，插值与拟合等(Various matlab classic algorithms, including data analysis, solving equations, drawing, planning, interpolation and fitting)