Bai6-Nhapxuat

本程序基于matlab编程，绘制了一箭穿心的图案(The program is based on matlab programming, drawing an arrow pattern mandrel)

图论算法，里边的内容包括最短路径，最小生成树，最大流，遍历的算法及详细讲解。(Graph algorithms, including inside the shortest path, minimum spanning tree, maximum flow, traversal algorithms and detailed explanation.)

自适应和灰色模型的一些相应代码，根据论文写的，和结果一样。(Some adaptive code and corresponding gray model, according to a paper written and the same results.)

MATLAB 书籍与应用实例MATLAB 书籍与应用实例MATLAB 书籍与应用实例MATLAB 书籍与应用实例MATLAB 书籍与应用实例MATLAB 书籍与应用实例MATLAB 书籍与应用实例MATLAB 书籍与应用实例MATLAB 书籍与应用实例(MATLAB Applications MATLAB books and books and its application to MATLAB Applications MATLAB books and books and books with MATLAB Applications MATLAB Applications MATLAB and its application to books, books, and its application to MATLAB Applications MATLAB books and books and Applications)

用最速下降法求解无约束非线性规划问题,最大奇异值,其梯度列向量(Using the steepest descent method solving unconstrained nonlinear programming problem)

说明：  离散粒子群算法，改进的二值粒子群算法，可以正常运行(Discrete particle swarm optimization algorithm, improved binary particle swarm optimization algorithm)

matlab 最速下降法 源码 关于最速下降法的一个matlab小程序(steepest descent method)

本软件是时变的VAR模型，能够考察变量间的冲击效应，及其结构变化特征，是较为理想的时间序列工具。(This software is a time-varying VAR model is able to examine, impact effect among the variables, and structural changes, is the ideal time series tools.)

文献“Majorization-minimization algorithm for smooth Itakura-Saito nonnegative matrix factorization”的matlab仿真源码(Matlab simulation source literature Majorization-minimization algorithm for smooth Itakura-Saito nonnegative matrix factorization " )

实验名称:投资组合分析 实验性质：综合性和研究探索性 实验目的：熟练运用投资组合工具箱，学会构造有效前沿组合的方法，掌握最优投资组合的计算方法；给出投资组合VaR 的值。 实验任务：选择股票并从万得下载数据，计算证券的预期收益率、标准差和协方差，设定一组约束条件，构造最优投资组合并计算该组合的Var值。 实验设备：计算机 实验软件：Matlab2013 Wind数据库 选择一组股票作为投资标的，构造投资组合，通过估计收益率均值、计算方差、协方差，计算该投资组合权重、在险价值、画出有效前沿。(Experimental Name: Portfolio Analysis Experimental nature: comprehensiveness and research exploration The purpose of the experiment is to skillfully use the portfolio toolbox, learn to construct effective frontier portfolio method, grasp the best investment portfolio calculation method, and give the value of portfolio VaR. Experimental tasks: select stock and download data from Wan De, calculate the expected return, standard deviation and covariance of securities, set up a set of constraints, construct the optimal portfolio and calculate the Var value of the portfolio. Experimental equipment: computer Experimental software: Matlab2013 Wind database A group of stocks is selected as investment target, and a portfolio is constructed. By estimating the mean value, variance and covariance of the yield, we calculate the portfolio weight, value at risk and draw effective frontier.)