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用matlab进行编程实现递归法计算三重积分(Matlab programming recursive method for calculating triple integrals)

协同模糊聚类建模通过特征选择和协同模糊聚类的模糊建模方法构建T-S模型，并用此模型对数据进行测试。(Collaborative fuzzy clustering modeling and collaboration through the feature selection fuzzy clustering TS fuzzy modeling method to build models and use this model of data for testing.)

MATLAB N个实用技巧--MATLAB中文论坛精华总结(it is useful for new learner )

利用龙格-库塔法求解了航天器深空返回再入运动动力学方程，并对返回再入运动进行了仿真分析。(Use of Runge- Kutta method to solve the deep-space spacecraft reentry return movement dynamics equations, and the return movement is simulated reentry.)

Fundamental Capacity of MIMO Channels

6本matlab电子书 能帮助初学者极大的极高matlab编程水平(6 e-book can help beginners matlab great deal of high level programming matlab)

PID参数整定软件，包括飞升曲线法和稳态边界法(PID parameter tuning software, including the soaring curve and steady-state boundary method)

Face Detection and Tracking Using the KLT Algorithm This example shows how to automatically detect and track a face using

本书介绍了MATLAB 7.X版本与其他语言混合编程的方法。内容包括在MATLAB中以文件方式导入、导出数据；在Windows和Linux开发C/C++语言的MEX文件；在Windows和Linux开发FORTRAN语言MEX文件；在MATLAB中使用动态连接库文件；在C/C++语言中调用MATLAB引擎；使用MATLAB编译器，以及如何在C/C++程序中使用mcc编译的库函数；在C++程序中使用MATLAB的COM编译器产生的COM组件等。 本书可以作为高等院校各工程专业的教学参考书，也是广大科技工作者必备的参考用书。(This book introduces MATLAB 7.X version and other languages mixed programming method. Included in MATLAB, on paper import and export data in Windows and Linux Development C/C++ language MEX files in Windows and Linux development FORTRAN language MEX files in MATLAB, using dynamic link library file in C/C++ language call the MATLAB engine using MATLAB compiler, and how C/C++ programs compiled using mcc library functions in C++ program using the MATLAB-COM compiler generated COM components. This book can serve as the engineering colleges and universities teaching reference books, the vast number of scientific and technological workers essential reference book.)

说明：  金融时间序列分析，常用的一些模型分析过程，此仅对ARIMA 做了一些参考(Do time-series.look for some progrom refer to time series of Finalcial data,espeically using ARIMA model.)