MoM_Quadraticequations

说明：  介绍了利用Matrix VB插件实现从VB中调用MATLAB函数的具体方法，利用该方法，可大大提高 VB程序的计算和绘图能力，增强用户开发人机界面友好的计算程序的能力(Introduced the use of Matrix VB plug-in implementation to call MATLAB functions from VB specific method, this method can greatly improve the VB procedure of calculation and graphics to enhance the user friendly interface developed the capacity calculation program)

matlab 编写的指纹识程序 附有指纹图片(Fingerprint identification)

When doing optimization, GA algorithm was initially selected, but the instability of the GA (or local optimization) is really frustrating, before and after the resulting difference can at times reach more than 30 , at that time due to time reasons, I chose to optimize 1000 times, then the minimum value of the most optimal solution. Although the problems are solved, but an academic, this style of running is pretty embarrassing. So, I downloaded a GA-PSO algorithm, try using the combination of GA and PSO optimizing strategies, results algorithm issues, efficiency and good. I downloaded the original algorithm, there is a problem is that it is aimed at all upper and lower limits of the design variables are the same, so I modified the program and improvements, you can now deal with upper and lower limits of the inconsistency problem and fix the bug. Now, program modifications, and share, hoping to be useful to you

用muller算法求解非线性方程的根 已知方程f(x)=0的三个近似根，以这3点为节点构造二次插值多项式的一个零点作为近似根； 不断迭代计算直到满足精度为止；(Solving the roots of nonlinear equations with Muller algorithm)

matlab isodata聚类算法重要函数四个，涵盖了isodata聚类算法的中心内容(clustering algorithm matlab isodata important functions four, covering the central elements isodata clustering algorithm)

对MIMO-OFDM系统通过不同的算法进行仿真得到结果图(Simulation results of mimo-ofdm system are obtained through different algorithms)

说明：  状态观测器Simulink 模型，可用于弹簧阻尼系统的仿真及系统状态观测(State observer simulink)

了解快捷编程过程、技巧、方法和避免不必要的 Bug。(Understanding of the process of fast programming, techniques, methods, and to avoid unnecessary Bug.)

说明：  神经网络 侯媛彬 西安电子科技大学出版社 全书程序文件夹CH6(Neural network)

MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran. You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas. MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications.