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。本书首先讲述了MATLAB语言程序设计基础，然后分别介绍了符号计算在微积分和复变函数两门大学数学基础课程中的应用，接着系统的介绍了线性方程组、非线性方程与最优化方法、特征值与特征向量、插值与函数逼近、估计方法和数据拟合、积分计算、常微分方程的数值方法。从实用角度考虑，本书许多章节都给出了一些数值分析的应用范例，并在最后一章单独介绍了一些综合性较强的数学建模问题(This book starts by describing the basis of MATLAB programming language, and then introduced the symbolic computation in calculus and complex functions based on two college courses in applied mathematics, and then introduced the system of linear equations, nonlinear equations with the most optimization method, eigenvalue and eigenvector, Interpolation and function approximation, estimation and data fitting, integral calculation, numerical methods for ordinary differential equations. From a practical point of view, many of the chapters the book gives some numerical analysis are examples of the application, and separate in the final chapter describes some of the more integrated mathematical modeling)

这是MATLAB学习资料，其中有很多学习相关例子，望对大家能有用(MATLAB learning materials, there are a lot of study relevant examples, we can look to useful)

详细介绍matlab模型预测控制工具箱的使用model predictive control toolbox(Details Matlab toolbox model predictive control using model predictive control toolbox)

power flow for 9 bus system

认知无线电频谱分配中采用CSGC并行算法进行(Cognitive radio spectrum allocation algorithms in parallel using CSGC)

DOL has a magnet synchronous machine on the network

用顺序选择算法改进遗传算法，用来求解以为无约束问题(Sequence selection algorithm with improved genetic algorithm is used to solve the problem that the unconstrained)

多元统计分析过程下的主元个数的计算，运用于pca以及pls的数据分析算法中(the calculation of principal components)

dc motor simulation in matlab

Spectral Methods in MATLAB 即用spectral的方法并开matlab来做数值解法(Spectral Methods in MATLAB)