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遗传算法的优化，对系统参数进行最优控制，找出满足要求的最优解。(Genetic algorithm optimization, optimal control system parameters to find the optimal solution to meet the requirements.)

The following Matlab project contains the source code and Matlab examples used for 2d wave equation. An interactive demo of the 2D wave equation

海面3维动态场景描述,改变程序中的风速大小就能得到不同海情的海面(Sea 3-D dynamic scene description, change the size of the program s speed could be different sea and the sea.)

为变压器油纸绝缘支路辨识提供判断，为变压器油纸绝缘老化判断提供依据(To provide for the judgment of transformer insulation branch for transformer insulation aging identification, provide the basis for judgment)

program matlab for encode jpeg picture using dct2, RLE, and huffman encoding

OFDM系统中的峰均比问题的Matlab仿真(PAPR OFDM system Matlab simulation of the problem)

说明：  MATLAB教程，没什么好说的，包含一下东西： MATLAB6.0教程初级；Matlab讲义高级；精通matlab综合辅导与指南；MatLab工程数学应用；MATLAB命令大全；matlab统计工具箱函数汇总；MATLAB应用程序接口用户指南(MATLAB tutorial, there is nothing to say, and includes things like: MATLAB6.0 Tutorial primary Matlab senior notes proficient matlab comprehensive counseling and guidance MatLab Application Engineering Mathematics MATLAB command Guinness matlab statistics toolbox function summary MATLAB Application Program Interface User)

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.

Basic Continuous and Discrete Time functions

Load flow By NR method.