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说明：  用Matlab语言实现线性方程组的全主元三角分解法.PDF(using Matlab linear equations of all the main yuan triangular decomposition. PDF)

matlab gui串口通信实现的基本源码(Serial communication source)

数学建模-出租车人口预测模型，出租车数量预测模型，收益最大化(Mathematical modeling- Taxi population forecasting model, the number of taxis prediction model, revenue maximization)

2*2空间复用信道MIMO仿真 其中包含整套通信系统的编码解码，调制解调，噪声信道，并有文件对应说明文档(2* 2 MIMO spatial multiplexing channel communication system simulation package which contains the coding and decoding, modulation and demodulation, channel noise, and the corresponding documentation file)

利用SVM进行分类的简单例子 matlab(an esample of classification using SVM matlab)

this file is about solair system 3

这是我们参加深圳杯2012年D题的打孔机生产效率的问题，希望对大家有帮助。这可是很强的东西。(This is our participation in Shenzhen Cup 2012 theme punch D productivity problem, we want to help. This is strong stuff.)

fficient GMM clustering using Multiple Threads

NormFitGA:用动态线性标定适应值的遗传算法求解一维无约束优化问题 (NormFitGA: dynamic linear calibration with genetic algorithms for solving one-dimensional fitness unconstrained optimization problems)

游需求分析婶予促进我目各地区的经济发展和文化交流都有着重要的意叉。由于旅游行业的。小样本，膏信息，不确定”性， 旅游市场可以看做是一个巨大的灰色系统。皋文竹对旅游需求同题进行了详细的研完，提出了基于灰色表镜理论的多元数学预测模型GM (1，N)．合理分析诸多因素对旅游需求的综合影响，可以很好的解决此奏问题。同时。以北京地区旅游需求发展为倒，根据北京市旅游局平 的历年旅游统计数据，确定影响游客人数的因素并对其合理量化，应用GM(1，N)模型对最地的旅游需求进行预潮．井通过残盖检验，后戎 差检验手方法对谊模型进行分析．得到的攮测结晨比较准磅，未模型应用范田广泛，可以进行推广使用。(Travel demand analysis aunt I promote my head the region s economic development and cultural exchange has an important meaning fork. As the tourism industry. Small sample, paste the information, uncertain "sex, Tourism market can be seen as a huge gray system. Gao asparagus tourism demand with the title for a detailed study finished, put forward the theory based on gray table mirror multivariate mathematical prediction model GM (1, N). Rational analysis of factors combined effects of tourism demand, can solve this problem outs. Simultaneously. Development of regional tourism demand in Beijing is an inverted, according to the Beijing Municipal Tourism Bureau level Calendar year tourism statistics to determine the factors that affect the number of visitors and their reasonably quantified, the application of GM (1, N) model of the tourism demand for the most pre-cuts. Well residue cover through test after Rong Poor test methods friendship hand model for analysis. Nang get more accurat)