gatbx

YALMIP是一种定义和求解高级优化问题的模化语言，能够解决所有标准优化问题和高级主题，完全可以替代Matlab中的Optim和LMI工具箱(YALMIP is a high-level optimization problem definition and solving the modeling language, to solve the optimization problem for all standard and advanced topics, can replace Matlab and the LMI toolbox in the Optim)

自己编写的基于多特征目标跟踪的算法，能实现实时跟踪(I have written based on multi-feature target tracking algorithm, to achieve real-time tracking)

该程序是完整的TLD跟踪算法过程，采用matlab和C语言混合编程技术，并有测试图片(The program is a complete TLD process tracking algorithm, using matlab and C language programming mix, and a test image)

This file contains the code for matlab generation and results..

MATLAB code describing adaptive filter

The XML Toolbox converts MATLAB data types (such as double, char, struct, complex, sparse, logical) of any level of nesting to XML format and vice versa. For example, >> project.name = MyProject >> project.id = 1234 >> project.param.a = 3.1415 >> project.param.b = 42 becomes with str=xml_format(project, off ) "<project> <name>MyProject</name> <id>1234</id> <param> <a>3.1415</a> <b>42</b> </param> </project>" On the other hand, if an XML string XStr is given, this can be converted easily to a MATLAB data type or structure V with the command V=xml_parse(XStr).

台湾大学的使用SVM方法进行线性回归、分类的MATLAB程序(National Taiwan University, the use of SVM method of linear regression, classification procedures of the MATLAB)

Several case studies for biomaterials.Included heart valves, wound dressing, dental biomaterials and joint replacement.

采用两种不同的数学方法进行处理。推导出两对角线方程和块状两对角线方程,提出了两种相应的数值计算方法。本文的方法具有对初值要求不高和收敛迅速的特点(The model equations of the multicomponent multistage adiabatic flash process are handled by two different mathematical methods in the forms of di-diagonal matrix equation and block di-diagonal matrix equation, and the two new algorithms are developed. The numerical calculation shows that the new algorithms process has the features of being more rapid to convergency and less sensitive to the initial values)

I gives information of seperation of sources using matlab.