MPPT

此算法为用于解反问题的lsqr算法，对Ax=b，输入矩阵A，列向量b，以及迭代步数，求得列向量x(This algorithm is used for solution of the inverse problem lsqr algorithm, Ax = b, the input matrix A, the column vector b, as well as the number of iterative steps, to seek the column vector x)

这是一个MATLAB人机交互界面程序设计方案，可以初步学习基于MATLAB的GUI设计，不可多得的好程序。(This is a MATLAB program man-machine interface design, can initially learn MATLAB-based GUI design, the rare good program.)

熵值计算的matlab 程序包括样本熵，近似熵，条件熵等(Matlab program for entropy calculation Including sample entropy ,approximate entropy,conditional entropy and so on.)

basic fourier series gui for beginners

1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合 (a toolbox : LS_SVMlab Classification_LS_SVMlab.m-over classification Regression_LS_SVMlab.m-function fitting 2, toolbox : OSU_SVM3.00 Classification_OSU_SVM.m-over classification 3, toolbox : stprtool svm Classification_stprtool.m-over category Categories 4, toolbox : SVM_SteveGunn Classification_SVM_SteveGun n.m-II classification Regression_SVM_SteveGunn.m-fitting function)

波浪中船舶运动的仿真及预报研究 船舶运动数学模型(Wave the ship motion simulation and forecasting of ship motion mathematical model)

迪杰斯塔拉算法在matlab上的程序。数学建模可以用哦(Stara Dijkstra algorithm in matlab procedures. Oh, mathematical modeling can be used)

计算机控制的matlab例程 自己做的关于课程的仿真程序(Computer-controlled matlab routines to do their own on the course of the simulation program)

线性调频信号的脉冲压缩，合成孔径雷达(SAR)的第一个作业程序(the compression of chirp signal)

Using TF-IDF to Determine Word Relevance in Document Queries : In this paper, we examine the results of applying Term Frequency Inverse Document Frequency (TF-IDF) to determine what words in a corpus of documents might be more favorable to use in a query. As the term implies, TF-IDF calculates values for each word in a document through an inverse proportion of the frequency of the word in a particular document to the percentage of documents the word appears in. Words with high TF-IDF numbers imply a strong relationship with the document they appear in, suggesting that if that word were to appear in a query, the document could be of interest to the user. We provide evidence that this simple algorithm efficiently categorizes relevant words that can enhance query retri