Butterworth1

此书中概括了很多MATLAB中的命令，便于查询和学习使用(This book summarizes many of the commands in MATLAB, easy to use search and study)

MATLAB界面设计篇，曲线转换按钮，栅格控制按钮，弹出式菜单，多选菜单等32个程序(MATLAB interface design articles, curve conversion button, the grid control buttons, pop-up menu, select the menu more than 32 programs, etc.)

用matlab 求解有限元 ,求解有限元 ,求解有限元 (finit elements method)

用于matlab的遗传算法工具箱（里面含有遗传算法所有的操作，如：交叉、变异等等）(for Matlab Toolbox Genetic Algorithm (it contains all the genetic algorithm operators, such as : cross Variation etc.))

利用朗格朗日乘子法解决机组组合问题。电力系统必备仿真程序之一(langrange-multiple to solve the unit commitment,one of the important software in power system)

理发店的服务过程仿真 一个理发店有两位服务员A和B顾客随机地到达该理发店,每分钟有一个顾客到达和没有顾客到达的概率均是1/2 , 其中60 的顾客理发仅用5分钟,另外40 的顾客用8分钟 . 试对前10分钟的情况进行仿真。(Service process simulation of a barber shop barber shop attendant A and B, there are two customers arrive at the barber shop randomly, every minute a customer arrives and there is no probability that the customer arrives are 1/2, where only 60 of the customers Barber five minutes, another 40 of customers with 8 minutes. trial for the first 10 minutes of the simulation.)

定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算 法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了 一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距 离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参 考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误 差补偿的运动模型进行过滤, 提高了采样效率, 减少了计算开销, 并保证了较好的定位精度. 仿真实验表 明算法在定位精度, 计算开销、能耗等方面都具有较好的性能.(Positioning technology is critical in wireless sensor networks based supporting technologies, currently made many static network node localization algorithms, the positioning of mobile wireless sensor network research is relatively small. Locate node and a reference node for random motion network model, proposed a Dynamic meshing based Monte Carlo localization algorithm. algorithm when the received reference nodes exceeds a certain threshold, the most distant node selection model selects some reference nodes involved locating and forwarding information, save energy. then based on the selection or building all received reference node sampling area, meshing, the number of grid cells used to calculate the maximum sampling frequency, the sampling area sampling and using motion model error compensation filter to improve sampling efficiency, reducing the computational overhead and to ensure a better positioning accuracy. Simulation experiments show that the algorithm in positioning accuracy,)

马尔科夫蒙特卡洛算法的MATLAB应用示例(code for MCMC in MATLAB)

优化算法程序包。有lm方法， smarquart法，等等。(Optimization package. Have lm, smarquart law.)

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