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电除尘器的空间电气特性数值分析，分别对电势，空间电荷密度进行仿真(Analysis for Space Electric Characteristics in ESPs)

说明：  某厂生产甲乙两种口味的饮料,每百箱甲饮料需用原料6千克,工人10名,可获利10万元 每百箱乙饮料需用原料5千克,工人20名,可获利9万元.今工厂共有原料60千克,工人150名,又由于其他条件所限甲饮料产量不超过8百箱.问如何安排生产计划,即两种饮料各生产多少使获利最大.进一步讨论: 1)若投资0.8万元可增加原料1千克,问应否作这项投资. 2)若每百箱甲饮料获利可增加1万元,问应否改变生产计划. (Factory production of beverages and B in two flavors, each box 100 need a drink six kilograms of raw materials, workers 10 to 100,000 yuan profit B beverage cartons per cent five kilograms of raw materials needed, workers 20, the profitability of 90,000 yuan. this plant a total of 60 kilograms of raw materials, 150 workers, and because other conditions do not yield a beverage cartons more than 8 per cent. ask what arrangements the production of projects, namely the production of two the number of drinks to make the biggest profit. further discussion : 1) if the investment 08,000 yuan to increase one kilograms of raw materials and asked whether we should make this investment. 2) If a beverage cartons per cent profit increase 10,000 yuan and asked whether or not to change the production plan.)

EM算法，是一种无监督的聚类算法，可以实现对数据的处理，对不同数据进行聚类，生成类内相似度最大(EM algorithm is an unsupervised clustering algorithm, the data processing can be achieved on different data clustering, to generate the maximum within-class similarity)

本程序旨在于解决用遗传算法解决多目标优化问题，同时加深对简单遗传算法的了解并进一步理解(The program aims to use genetic algorithm to solve multi-objective optimization problems, while deepening the understanding of the simple genetic algorithm and further understanding of)

simulink的教程其中包括matlab三章讲解和simulink有六章讲解，详细的例子说明(matlab simulink)

程序包括EFICA，WASOBI及两者的结合，可以快速实现盲源分离。(The program includes EFICA, WASOBI and their combination, can quickly achieve blind source separation.)

说明：  二段桥的搭建方法，简单明了，看了还想看，不看后会…………(Bridge Sec)

This code would create the P-P reflection coefficient with incident angle in the relation of zoeppritz equation. It is very useful in seismic analysis.

A matlab source code in digital image processing using the the gray level slicing,linear transformation, log transformation and the thresholding transformation

简单的遗传算法解决优化问题的汇编代码，包括单变量无约束优化、单变量有约束优化及多变量优化问题，并配以实例进行说明(Genetic Algorithms)