exp2

逆矩阵　行列式的值 ｍａｔｌａｂ 数值计算方法　源程序(Determinant of the value of the inverse matrix numerical method matlab source)

2d fdtd code with tf sf interface and upml ABSORBING BORDERS IN MAT LAB

四边简支的复合材料层合板基于遗传算法的的最佳铺层顺序求解(Solution of the Best Laying Sequence of Simply Supported Composite Laminates Based on Genetic Algorithms)

matlab source code from mathworks

Low Pass filter Matlab

将MATLAB文件MAT导入LabVIEW(MAT files to MATLAB into LabVIEW)

有限差分数值模拟程序，进行地震波正演，采用的是交错网格(Finite difference numerical simulation program, conducting seismic forward modeling, USES a staggered grid)

用于绘制滚动轴承故障的频谱图和包络解谱图，从而判断轴承故障(Used to draw the rolling bearing fault frequency spectrum and spectral envelope solutions, in order to determine bearing failure)

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.)

汽车悬架（钢板弹簧，减震器）设计程序，matlab环境（含ＧＵＩ），(Vehicle suspension (leaf springs, shock absorbers) design procedures, matlab environment (including the GUI))