queueM

toolbox for spm 5 for data, model free analysis

基于Matlab 换热器的最优化设计的matlab源程序。。(Matlab-based heat exchanger optimization design)

说明：  运用Matlab编程，实现了结构的刚度矩阵和质量矩阵的凝聚。(Using Matlab programming, to achieve the structural stiffness matrix and mass matrix condensation. )

基于插值的超分辨率NEDI算法,用matlab实现(The super-resolution interpolation algorithm based NEDI)

磷酸铁锂电池的simulink模型，用来监测电池的运行状态(Lithium iron phosphate simulink model to monitor the operating status of the battery)

基于matlab的gps系统定位仿真，模拟伪距测量结果，进行用户定位计算(Gps system based on matlab the positioning simulation, analog pseudorange measurements, user location)

一个MATLAB程序算例，即求模最大值的程序，相互学习用。(Example of a MATLAB program, that is seeking the maximum modulus of the procedures used to learn from each other.)

Optimal SVC by PSOGSA

Buck peak current mode control

传统的K-medoids聚类算法的聚类结果随初始中心点的 不同而波动，且计算复杂度较高不适宜处理大规模数据集； 快速K-medoids聚类算法通过选择合适的初始聚类中心改进 了传统K-medoids聚类算法，但是快速K-medoids聚类算法 的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷，提出 一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)