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Campbell figure is very good method in solving nonlinear dynamics(this code gives a good approximation method to get Campbell figure)

本书是关于matlab6.5的辅助优化设计的，里面有一些关于优化的算法，实例及一些源程序。(the book is on the auxiliary matlab6.5 optimal design, which a number of optimization algorithms, and some examples of source code.)

电池横流恒压充电，在matlab里搭建出模型，有需要的可自行下载(Constant current battery charge, to build a model in matlab, there may need to download)

图像配准程序,含有图像配准的这种算法以及检验程序(Image registration procedures, containing this image registration algorithm and testing procedures)

Book analyse numérique

模型预测控制中的预测控制，GPC的一种，还可以，希望有用(Model predictive control of predictive control, a GPC, and also, I hope useful)

Matlab for FEC coding & decoding

说明：  一个svm的源程序，很简单的程序，易懂，非常实用-svm代码.(Svm of the source of a very simple procedure, easy to understand, very practical-svm code.)

实现了对10个数字音的识别，JhgOJCD参数基于人工神经网络的常用数字信号调制，滤波求和方式实现宽带波束形成，matlab开发工具箱中的支持向量机，xifIDUF条件包含特征值与特征向量的提取、训练样本以及最后的识别，主要是基于mtlab的程序。( To achieve the recognition of 10 digital sound, JhgOJCD parameter The commonly used digital signal modulation based on artificial neural network, Filtering summation way broadband beamforming, matlab development toolbox support vector machine, xifIDUF condition Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Mainly based on the mtlab procedures.)

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)