pll

功能: 用基于拉格朗日函数Hesse阵的SQP方法求解约束优化问题:(Function: Hesse matrix based on Lagrangian SQP method for solving constrained optimization problems:)

用龙格库塔法求解微分方程组初值问题的matlab实例程序(a matlab example program about using Runge-Kutta method to solve the initial value problem of differential equations)

说明：  超宽带无线通信UWB（Ultra-Wideband ）仿真代码(Ultra-wideband wireless communications UWB (Ultra-Wideband) simulation code)

是有关ieee.802.16m里PFBCH的有关代码(Is the relevant code ieee.802.16m in PFBCH)

eof程序关于气候场或者降水场的分区。程序代码在matlab中运行。有图(of eof procedures partition on climate field or precipitation fields. Program code to run in matlab. FIG.)

有限元法分析电磁场二维问题,中间是1V，外面是0V(Finite Element Analysis of Electromagnetic two-dimensional problem, the middle is 1V, the outside is 0V)

检测直线，通过hough变换来检测，可以方便快捷，hough变换(hough transilation)

MATLAB PROGRAM TO CHECK CONTROLLABILITY AND OBSERVABILITY

波束形成的能量分配算法，与中继选择方案及Larsson方案做对比( U6CE2 u675F u5F62 u6210 u7684 u808F u0206 u9141 u9121 u6CD5 uFF0C u4E0E u4E2D u7E7 u9009 u62E9 u65B9 u6848 u53CALarsson u65B9 u6848 u505A u5BF9 u6BD4)

采用栅格对机器人的工作空间进行划分，再利用优化算法对机器人路径优化，是采用智能算法求最优路径的一个经典问题。目前，采用蚁群算法在栅格地图上进行路径优化取得比较好的效果，而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。 利用遗传算法处理栅格地图的机器人路径规划的难点主要包括：1保证路径不间断，2保证路径不穿过障碍。 用遗传算法解决优化问题时的步骤是固定的，就是种群初始化，选择，交叉，变异，适应度计算这样，那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题、难点以及解决办法。(It is a classical problem to divide the workspace of the robot by grids and optimize the path of the robot by using optimization algorithm. At present, the ant colony algorithm is used to optimize the path on the grid map, and the genetic algorithm is used to optimize the path on the grid map, which is more difficult to achieve. The difficulties of using genetic algorithm to deal with the path planning of robot on raster map mainly include: 1. guaranteeing that the path is uninterrupted, 2. guaranteeing that the path does not cross obstacles. The steps of genetic algorithm in solving optimization problems are fixed, that is, population initialization, selection, crossover, mutation, fitness calculation. Then I will talk about the problems, difficulties and solutions of genetic algorithm in each step of robot path planning in raster map.)