多载荷多工况的结构拓扑优化代码

matlab codes for bcjrfuncion,maxstar and parallel turbo

概率潮流使用matpower编写程序的基本步骤(The basic steps of probabilistic power flow by using matpower to write programs)

This Airfoil Analyzer tool is mainly intended to be useful in analyzing and comparing the airfoils’ geometrical features and in quick plotting of airfoils . Airfoil Analyzer will be useful in the following the ways,

使用matlab实现multi-armed bandit中的 e-geedy 算法.(Use matlab to implement e-geedy algorithm in multi-armed bandit.)

说明：  此程序的功能：在协作通信中，主要有AF，DF和CC三种传输方式，此程序完成对AF传输过程的MATLAB仿真。(This program implements AF simulation using Matlab.)

Music algorithm of uniform linear array

matlab求最短路径的Dijkstra算法，使用说明很清楚，简单易用(matlab seek the shortest path Dijkstra algorithm, instructions are clear, easy to use)

精通matlab6.5版_数值计算本章将花较大的篇幅讨论若干常见数值计算问题：线性分析、一元和多元函数分析、微积分、数据分析、以及常微分方程（初值和边值问题）求解等。但与一般数值计算教科书不同，本章的讨论重点是：如何利用现有的世界顶级数值计算资源 MATLAB。至于数学描述，本章将遵循“最低限度自封闭”的原则处理，以最简明的方式阐述理论数学、数值数学和 MATLAB计算指令之间的内在联系及区别。(matlab simulation)

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)

说明：  关于灰色系统预测GM(1,1)模型在matlab6.5中的实现(Prediction on the gray system GM (1,1) model in the matlab6.5 realize)