duble-stage-rectifier

使用gevp解线性矩阵不等式的程序，很完整，有注释，对于学习求解线性矩阵不等式很有帮助(Solving linear matrix inequalities using gevp procedures are complete, with annotations, for learning useful for solving linear matrix inequalities)

function x = thomas(varargin) THOMAS Solves a tridiagonal linear system

propagation of 1_d wave in peresenc of dielectric slab

Image quality analysis using median and weiner filter finding the PSNR ratio

在原始的 fcm 算法基础上，对算法中的聚类数 c 和加权指数 m 给出优选方法， 进而而出了 fcm 参数优选自适应算法，通过人造数据与具有实际背景的数据验证可以看出 该算法是有效的，该算法不但可以自适应的给出最佳的聚类数，而且可以验证聚类的有效性， 达到最佳聚类的目的(Fcm algorithm in the original, based on the number of clustering algorithms and the weighted index m given c preferred method, and then out of the fcm parameter optimization adaptive algorithm, synthetic data and practical background in data validation can be seen that the algorithm is effective, the adaptive algorithm can not only give the best number of clusters, and clustering can verify the validity of the purpose to achieve the best clustering)

一个神经网络，对100个分布在单位圆上的数据点进行分类。(A neural network, 100 distributed on the unit circle data points classification.)

说明：  作业车间调度问题(JSP)简单来说就是设备资源优化配置问题。作业车间调度问题 是计算机集成制造系统(CIMS)工程中的一个重要组成部分,它对企业的生产管理和控制 系统有着重要的影响。在当今的竞争环境下,如何利用计算机技术实现生产调度计划优 化，快速调整资源配置，统筹安排生产进度，提高设备利用率已成为许多加工企业面临 的重大课题.近年来遗传算法得到了很大的发展，应用遗传算法来解决车间调度问题早 有研究。(Job shop scheduling problem (JSP) is simply the problem of optimal allocation of equipment resources. Job shop scheduling problem It has become a challenge for many processing enterprises to adjust resource allocation, arrange production schedule as a whole and improve equipment utilization It is an important subject for us to study. In recent years, genetic algorithm has been greatly developed. It is very early to apply genetic algorithm to solve job shop scheduling problem)

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this is matlab code cyclic 1511

比较全的PID控制MATLAB仿真例子程序，直接可以用，包括M文件和SIMULINK仿真。(Compare PID control procedures MATLAB simulation example, can be used directly. M including documents and SIMULINK.)