Robust-methods

本代码为数学物理方程研究课题的一部分，编码实现了数值解析法，分离变量法，有限差分法，对几类方法进行了仿真(This code is part of the research in mathematical physics equations, coding to achieve a numerical analysis method, separation of variables method, finite difference method, several types of methods for simulation)

基于时域有限差分算法的3维仿真，程序可以运行，放心使用。。。(FDTD algorithm based on the three-dimensional simulation, the program can run, ease of use. . .)

simulink环境下的永磁同步电机的磁场定向控制，采用id=0的控制策略(simulink environment of permanent magnet synchronous motor field oriented control, using id = 0 control strategy)

这是一个基于matlab编程的RussiaBlock，可以很好的学到matlab的知识，又具有娱乐性(This is a well Matlab programming RussiaBlock, learn matlab' s knowledge, but also entertaining)

《MATLAB神经网络30个案例分析》中的第17个例子，案例17 SOM神经网络的数据分类--柴油机故障诊断。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 17 cases of 17 SOM neural network data classification, diesel engine fault diagnosis. Hope to have certain help to everybody! )

SVM向量机用于目标分类的代码，代码很简单，可以运行，适合新手(The code for the target vector machine SVM classification code is very simple, it can run for novice)

matlab代码，实现P-Q解耦法潮流计算(matlab code to achieve the PQ decoupled power flow calculation method)

GPS NMEA Parser that read all lines in data text file

New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas - a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below(New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas- a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below)

说明：  模式识别knn分类器，matlab代码，k近邻算法(knn classifier ，matlab code)