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MATLAB杆系结构分析：Matlat杆系结构分析源代码,包括： 第一章 静定结构内力和位移计算程序（源程序及例题） 第二章 平面刚架矩阵位移法及静力分析程序（源程序及例题） 第三章 平面刚架静力分析程序的改进（源程序及例题） 第四章 空间刚架静力分析及程序设计（源程序及例题） 第五章 刚架动力特性分析及程序设计（源程序及例题）(MATLAB Frame Structure Analysis: Matlat truss structure of the source code, including: Chapter Static Finite element analysis computer program (source code and examples) Chapter plane frame matrix displacement method, and static analysis of programs (source and Example) Chapter static analysis of plane frame process improvement (source code and examples) Chapter IV space frame static analysis and program design (source code and examples) Chapter Frame Dynamic analysis and program design (the source procedures and examples))

一个人脸识别系统，很好用。能够实现人脸的识别和检测。(A face recognition system, it just works. Able to achieve human face identification and testing.)

利用moravec算子提取特征点，非常经典，基本上其他的一些特征点提取算子是在它的基础上被开发出来的(Feature extraction using moravec point operator, very classic, basically some other feature extraction operator is based on it being developed by)

主要设计了在matlab下异步电动机在mt坐标轴下的开环控制仿真。(The main design of the asynchronous motor in matlab mt axis open-loop control simulation.)

对于实际数据进行SAR成像CS算法的代码(Code for SAR imaging CS algorithm of actual data)

matlab 包含优化问题试验、微分议程试验、代数实验和综合试验等 (matlab optimization problem that contains test, differential agenda test, algebra test and integrated test)

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

This text provide good training for general use of Matlab and numerical programing application of Matlab

感知机算法(内含测试数据tic-tac-toe(三连棋游戏))(Perceptron algorithm (containing test data tic-tac-toe (three with chess games)))

李津第一次大作业代码：包括共轭梯度法CG，兰索斯Lanczos法、MINRES法、SOR法、最速下降法(Li Jin first big job code: include conjugate gradient method CG, Lanczos Lanczos method, MINRES method, SOR method, the steepest descent method)