dubins

模拟退火算法的matlab程序，用于解决tsp问题，运行通过。(simulated annealing algorithm Matlab procedures for the settlement tsp, running through.)

Tutorial using GUI in MATLAB

matlab程序 五点滑动平均方法 很好很强大(matlab program five-point moving average method)

很好用的matlab批量修改文件名的程序(The good use matlab bulk modify the file name of the program)

分簇协议的改进协议DEEC的matlab代码，绝对正确，大家可以下载试试，对学习WSN路由协议很有帮助。(Improved clustering protocol agreement DEEC matlab code, absolutely correct, you can download to try, to learn helpful WSN routing protocol.)

Multiscale M decision tree

this is to make a triangle wave in matlab

忆阻器《忆阻器非线性漂移》翻译及其忆阻器宏模型建立及其电路仿真。(memristor emulator )

Controle Per Unit d une MESB

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection