司守奎数学建模算法课件

第七章实验一（2）验证歌德巴赫猜想.TXT-an experimental Chapter VII (2) the certification Goldbach conjecture. TXT

说明：  超声波壁障由舵机带动超声波检测周围障碍物，前端遥控功能，循迹功能，(Ultrasound Wall Barrier, Front End Remote Control Function)

Builder design pattern implementation

说明：  对瑞利衰落信道和莱斯衰落信道进行的MATLAB建模仿真(Simulation of Rayleigh fading channel and rice fading channel.)

基于optisystem and matlab 的色散补偿时域算法(Domain dispersion compensation algorithm based optisystem and matlab)

说明：  仿真算法 1）PV光伏电池模型采用工程实用C1C2数学模型； 2）采用基于占空比扰动的PO扰动观察法实现MPPT最大功率跟踪； 3）采用信号发生器和开关自由组合，实现4种工作模式：模式1，温度固定，光照固定；模式2，温度固定，光照突变；模式3，温度突变，光照固定；模式4，温度突变，光照突变； 4）跟踪效果良好，能够适应环境变化； 5）各个模块功能明确，方便学习和理解。(Simulation algorithm 1) The practical engineering C1C2 mathematical model is adopted in the PV photovoltaic cell model. 2) The maximum power tracking of MPPT is realized by using the PO perturbation observation method based on duty cycle perturbation. 3) The signal generator and switch are combined freely to realize four working modes: mode 1, temperature fixing and light fixing; mode 2, temperature fixing and light mutation; mode 3, temperature mutation and light fixing; mode 4, temperature mutation and light mutation; 4) The tracking effect is good and can adapt to environmental changes. 5) The functions of each module are clear and easy to learn and understand.)

说明：  设计半径为1mm的平面波经凸面曲率半径为25mm，中心厚度3mm的平凸透镜。用matlab仿真平面波在透镜几何焦平面上的聚焦光斑强度分布，计算光斑半径。并与理论光斑半径值进行对比，得出误差大小。（方法：采用波动理论，利用基尔霍夫—菲涅尔衍射积分公式。）(Design a plano-convex lens with a plane wave radius of 1 mm and a convex curvature radius of 25 mm and a center thickness of 3 mm. Matlab simulates the intensity distribution of the focused spot on the geometric focal plane of the lens with a plane wave, and calculates the spot radius. The error is compared with the theoretical beam spot radius.)

资源描述调试了，没有错误，解释也很详细，不懂的可以联系我，很简单

作业二： 请编写MATLAB程序用最优步长控制和变步长龙格-库塔-费尔别格（Runge-Kutta-Fehlberg）法求解如下刚体自由转动动力学方程： (Please write MATLAB to solve the following rigid body free rotation dynamics equation by using the most Uber long control and the transmud-kutt-fehlberg method:)

道格拉斯-普克算法 (Douglas– Peucker algorithm，亦称为拉默-道格拉斯-普克算法、迭代适应点算法、分裂与合并算法)是将曲线近似表示为一系列点，并减少点的数量的一种算法。它的优点是具有平移和旋转不变性，给定曲线与阈值后，抽样结果一定。(The Douglas - puke algorithm (Douglas - Peucker algorithm, also called the lamer - Douglas - puke algorithm, iterative adaptive point algorithm, split and merge algorithm) is an algorithm that approximatively represents a curve as a series of points and reduces the number of points. It has the advantages of translation and rotation invariance. After a given curve and threshold, the sampling result is certain.)