matlab_swarm

基于LBG算法的矢量量化码书设计的Matlab程序(LBG algorithm based on vector quantization codebook design procedure of Matlab)

介绍了机器人的运动学的求解过程，对于初学者有很好的知道作用(Describes the process of solving robot kinematics, good for beginners to know the role of)

读网表程序，用于Matlab 控制Pspice(Read netlist procedures)

说明：  电力系统可靠性建模仿真分析，用matlab编程仿真分析(Power system reliability modeling and simulation analysis,Matlab programming simulation analysis)

聚类代码(include sparse capability)(Clustering code (include sparse capability))

Discrete-Event Modeling and Simulation: A Practitioner s Approach By Gabriel A. Wainer

说明：  基于直方图处理的MATLAB人脸识别算法(Matlab face recognition algorithm based on histogram processing)

在阵列信号处理中，信号源个数的估计是一个重要问题，文献和代码给出了基于随机矩阵理论的阵列信号个数的非参检测。(In array signal processing, the estimate of the number of signal source is an important issues, documentation and code give an non-parametric detection of array signal number based on random matrix theory.)

Sequential Gaussian Simulation

这里介绍的案例研究演示如何使用MATLAB来建立测量的燃气经营权，在新英格兰的植物组合相关的风险的申请。在Excel中的应用与实施用MATLAB进行了分析所有的接口。该应用程序允许用户指定的7种植物，包括能力，热率，可变操作和维护成本，最低运行时的特点。这个组合可以用一个简单的调度backtested历史天然气和电力价格的策略来计算利润和机组运行的历史数据。风险措施，通过模拟计算到使用天然气和混合模型在MATLAB中实现，模拟市场价格为每调度方案和计算现金流量从厂房的运作产生未来的电力价格。该现金流量的分布进行分析，产生了90％和95％的现金流量在风险衡量每个工厂以及用于发电资产组合。这些功能全部是提出了一个简洁的Excel的前端。 题为“介绍ETRM为例”的文件将指导，通过分析不同的组件。(The case study presented here demonstrates using MATLAB to build an application for measuring the risks associated with a portfolio of gas-fired power plants operated in New England. The application has an interface implemented in Excel with all of the analytics performed by MATLAB. The application allows the user to specify the characteristics of the 7 plants including the capacity, heat rate, variable operation and maintenance costs and minimum run time. This portfolio can be backtested using a simple dispatch strategy on historical gas and electricity prices to compute historical profit and plant operation statistics. The risk measures are computed by simulating gas and electricity prices into the future using a hybrid model implemented in MATLAB, simulating the dispatch for each scenario of market prices and computing cash-flows arising from the operation of the plants. The distribution of the cash-flows is analyzed to produce a 90 and 95 cash-flow at risk measure for each plant )