MATLAB与FORTRAN语言互调用接口的实现

说明：  大叔大叔大叔的撒的大大说的我该如何一天大大说的撒的撒(qazqqswqfdeferhgtyndvSXVergbVberhaegadfvxczvzxcvcxzvzxczxcvzxczxcvzxcv)

RTL8152BN USB to ethernet adapter schematic and PCB design for reference

一个游戏的解决方案，用来说明跳马的步骤和实现-a game of the solution, used to illustrate the vault and the steps to achieve

能够画出一束玫瑰花，用Matlab绘出一支玫瑰送给女朋友(Can draw a bunch of roses.Draw a rose to a girlfriend with Matlab)

VB屏幕取色，一个小巧漂亮好用的VB取色器源代码，界面看上去十分专业，有效防止窗体闪烁，类似于Flash和Dreamweaver 网页设计软件里面的拾色器效果，支持屏幕任意点取色，将取到颜色的十六进制颜色值和红、绿、蓝三基色值分别显示出来，你可将这些值下拉输入到程序里使用。本软件编写时无使用控件，VB6.0可直接编译。

说明：  一级倒立摆的起摆simulink仿真图以及matlab程序代码(Swing Simulink simulation diagram and matlab code of a first inverted pendulum.)

此文章的算法有迭代法、穷举搜索法、递推法、贪婪法、回溯法、分治法、动态规划法等等，有用的的人可以-This article has iteration of the algorithm, exhaustive search method, the recursive method, greedy method, backtracking, sub-rule method, dynamic programming, etc., can be useful

使用VC++平台开发的贪食蛇游戏游戏，可供游戏爱好者参考学习-Use VC++ Platform game developed贪食蛇game for game lovers reference learning

桌球游戏的修改版本，正在完善之中。。。多多指教-billiard revised version of the game is in progress. . . Exhibitions

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization (PSO), also called particle swarm optimization (Particle Swarm Optimization), is abbreviated as PSO, which is a new evolutionary algorithm (Evolutionary Algorithm EA) developed in recent years. PSO algorithm is a kind of evolutionary algorithm. It is similar to simulated annealing algorithm. It also starts from the random solution and finds the optimal solution by iteration. It also evaluates the quality of the solution through fitness, but it is simpler than the genetic algorithm rule. It does not have the crossover (Crossover) and the Mutation operation of genetic algorithm. Search for global optimum. This algorithm has attracted the attention of the academic community for its advantages of easy realization, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization (PSO) is a parallel algorithm.)