Numerical.Linear.Algebra.Lloyd.Trefethen.and

说明：  教程，教育如何看待烤箱问题，辐射的传到，方式方法(Tutorials, education, how to treat the oven)

说明：  使用matlab编程的m文件，对于了解使用m文件编程的方法有重要意义。(Programming using matlab m file, m file programming for understanding the methods used is important.)

spatio-temporal Volume Local Phase Quantization (vLPQ)

matlab俄罗斯方块程序，，非常真实的界面，MATLAB_GUI设计多多学习(Tetris matlab procedures, very real interface, MATLAB_GUI design a lot to learn)

用于处理真实SAR回波数据的一套RDA算法程序，经本人完美测试出图过。(a set of RDA program used to deal with Real SAR echo data, which is perfectly tested.)

MIT做的matlab maping工具箱参考手册.内含丰富的例子和详细的程序讲解.对利用matlab做地图和GIS的人来说是一本不错的参考书!(MIT do maping Matlab toolbox reference manual. Intron rich and detailed examples explain procedures. Matlab done on the use of maps and the GIS is a good reference books!)

实现了图像的自适应中值滤波，能虑除图像中的噪声，此程序由于有自适应性，比matlab自带的中值滤波表现更出色(the images adaptive filtering, images can be considered apart from the noise, this procedure because of adaptability, Matlab bring their own than the median filtering performance is more remarkable)

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

说明：  可用于求解物流配送路径优化问题，即vrp问题，算法采用的是蚁群算法(It can be used to solve the VRP Problem, which is an ant colony algorithm)

这是用MATlab进行用户界面设计的程程序这是界面的功能是：对连续时间函数w(t)=exp(-abs(t))在【-5，5】区间内进行采样，利用样条插值重构该连续函数，绘出重构图形并输出重构误差。(It is used MATlab process of user interface design process which is the interface functions are: a continuous time function w (t) = exp (-abs (t)) in the range】 【-5,5 samples, using spline Reconstruction of the continuous interpolation function, draw the reconstruction graphics and output reconstruction error.)