adaptive_simu

已知离散的坐标数据，利用这些坐标点进行椭圆拟合的程序(Known coordinates of discrete data points to use these coordinates ellipse fitting procedure)

golden section search method optimization methods and algortihms

Tennessee Eastman challenge

求解抛物线形偏微分方程的Matlab代码(Parabolic partial differential equation of Matlab code)

expand axes for matlab

说明：  以优化SVM参数c和g为例，对FA算法MATLAB源码进行了详细中文注解，是很好的学习材料(Taking the optimization of SVM parameters c and G as examples, the source code of FA algorithm MATLAB is annotated in detail in Chinese, which is a good learning material.)

This is a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is "runsim.m". In these simulations the SISO option is not explicitly given. This is because the SISO result for a particular type of modulation is shown in every plot for purposes of comparison. This software has been tested on MATLAB version 6.0 and above with signal processing and communication toolbox options.(This is a GUI based system. The GUI is invoked from the command line by typing " ui_start" . The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is " runsim.m" . In these simulations the SISO option is not explicitly given. This is because the SISO result for a particular type of modulation is shown in every plot for purposes of comparison. This software has been tested on MATLAB version 6.0 and above with signal processing and communication toolbox options.)

浙江大学数学建模比赛2013B题Matlab源码，主要使用遗传算法和模拟退火解决自行车调度问题，此处为有时间窗的VRP问题，注释详尽，方便改进维护(Zhejiang University Mathematical Contest in Modeling 2013B title Matlab source code, detailed notes, easy to improve maintenance)

The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.

基于matlab2011b，三电平，公司仿真文件，拿出来分享。(Based matlab2011b, three-level simulation files, to come up with to share.)