compdatos_mod

discription of the gaussian distrbution

说明：  支持向量增长聚类方法,?С窒蛄吭龀ぞ劾喾椒??С窒蛄吭龀ぞ劾喾椒?支持向量增长聚类方法(support vector growth clustering, su pport vector cluster growth, increased clustering support vector methods, support vector cluster growth, increased clustering support vector method)

MATLAB的 界面设计 关于GUI的相关内容2(MATLAB GUI interface design-related content on the 2)

EIGSHOW presents a graphical experiment showing the effect on the the unit circle of the mapping induced by various 2-by-2 matrices.

关于精馏塔的内模控制方案研究，对内部热耦合精馏塔的控制策略研究(Internal model of distillation column control， program research on the internal thermal coupling distillation column control strategy)

CDMA系统中使用OFDM调制方式下的系统性能仿真以及结果波形(The matlab file allows the user to specify OFDM parameters and analyze the resulting waveforms. There are embedded plot sequences that can be ‘uncommented’ to analyze the OFDM processing path at different points in the sequence.)

该文件是有关matlab的初级讲解说明，很方便的给学习者使用.(The document is to explain that the primary matlab, it is convenient to the learners.)

matlab和stk交互的一个例子，其中建立了图形和图表(matlab and interact stk)

GA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。 本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值啦） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；(GA (Simple Genetic Algorithm) is a powerful, intelligent multi-variable optimization algorithms, which mimic the breeding populations of the law to be optimized. SGA can optimize this variable, and the minimum value, maximum value (when the function of the countdown you will seek the minimum value) and to support the floating-point encoding, grey code, binary code round of gambling options, tournament selection single-point crossover, uniform Cross, floating-point crossover single point mutation, floating-point variation )

（一）目的：通过对常用的概率密度函数和分布函数的应用，达到熟练掌握概率密度函数和分布函数调用方法的目的。 （二）任务：对实际的案例进行分析，调用相应概率密度函数和分布函数，使用MATLAB软件计算其结果。 （三）要求：理解概率密度函数和分布函数，能够解决实际问题。 ((A) Purpose: used by the probability density function and distribution function of the application, to master the probability density function and distribution methods of the purpose of function call. (B) tasks: the actual analysis of the case, call the corresponding probability density function and distribution function, the use of MATLAB software to calculate their results. (C) requirements: understanding of the probability density function and distribution function, to solve practical problems.)