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混凝土框架弹塑性地震响应分析,采用三次三线性退化模型(seismic response of RC structure)

matlab中批量导入txt文件数据的方法(Batch import txt files)

包括matlab进行图像处理的基本函数，很全面，让大家方便以后使用(including Matlab for the basic image processing functions, and comprehensively, so that we use to facilitate future)

蕞优分组周游路线问题是一类物流智能调度问题，是众多的计算难度极大的组合爆炸问题之一。自从运输问题最早是由Hitchcock在1941年提出的[2][4]后，人们对这一类问题给予了极大的关注并进行了大量的研究，提出了有效解决问题的优化算法——单纯形法的变形[2]。但由于问题规模的扩大，纯数学方法在允许的时间和空间上都很难找到问题的最优解，于是人们开始转向寻找问题的近似最优解，遗传算法以其在求解最优化问题中的独特的自组织性、自适应性很快进入人们的视野。 经典的遗传算法对于求解多目标的NP完全性问题非常有效，但对于有多个限制条件的多目标最优化问题缺显得有点力不从心，很难得到稳定度较高、收敛较快的解。本文提出的双层遗传算法模型给这一类问题提供了一个很好的解决方法，虽然建模条件限制了描述的问题的通用性，有待推广，但它能有效利用问题的领域知识，提高了求解效率，保证了解的可行性和最优性，算法思想极具推广潜力，可在其它物流智能调度问题求解算法设计中借鉴。(The most optimal packet travel route problem is a kind of intelligent logistic scheduling problem is one of combinatorial calculation difficult problem many. Since the transportation problem was first proposed by Hitchcock in 1941 after the [2][4], the people of this class of problems given great attention and made a lot of research, the deformation of [2] optimization, simplex method algorithm is effective to solve the problem of. But due to the expansion of the scale of the problem, the pure mathematical methods in the allowed time and space are very difficult to find the optimal solution of the problem, so people begin to turn to the approximate optimal solution for the problem, genetic algorithm in solving optimization problems with its unique in the self-organizing, adaptive soon entered people s field of vision. Very effective classical genetic algorithm for solving multi-objective NP complete problems, but for the multi-objective optimization problem with multiple constraints. I)

数组运算示例，演示二维数组的存储方式（不同于其它语言）以及数组的运算和输出方法。(example of array operations. Demostration of storage (unlike other languages) , operation and output method of two dimensional array.)

Matlab工具箱应用,与很多工具箱的介绍，包括图片的处理。(Matlab toolbox application toolbox with many presentations, including image processing)

Finland Matlab cannot do regular meshes for non-regtancular regions. However, one can manually do very coarse regular meshes for these type domains. The difficulty is with the edge data e. If this data does not correspond to the orientations given by the PDEtool geometry files, refinement will not work. The function drawedges() will display the order of the edges and their segment numbers. However, this function does not tell how the edges are oriented. However, just run the visualization, and if the refinement does not work correctly, you know the problem is with the orientatino of the edge. Remember to also correct the last two rows of the matrix e when changing the orientation. (See the documentation for initmesh for more info.)

对实测获取的风压数据进行处理，评估风压分布的概率特性。(Evaluation of measured to obtain the wind pressure of data processing, the probability of wind pressure distribution characteristics.)

数据加密标准DES算法的Matlab实现 (NEWPNN- Designed probabilistic neural network SIM- on probabilistic neural network simulation)

本文通过介绍新的聚类算法到传感器节点调度算法中，从而实现网络覆盖的最优化(This paper describes a new clustering algorithm to the sensor node scheduling algorithm in order to achieve optimal network coverage)