st 主要用于地震数据处理

various curve using matlab

matlab code for pulse propagation in optical fiber

提出了一种新的多目标粒子群优化(MOPSO)算法，该算法采用自适应网格方法来估计非劣解集中粒子的密度信息、平衡全局和局 部搜索能力的 Pareto 最优解的搜索机制、删除品质差的多余粒子的 Archive 集的修剪技术。通过对三峡梯级多目标优化调度问题的计算， 表明该算法是求解大规模复杂多目标优化问题的一种有效手段。(A new multi-objective particle swarm optimization(MOPSO) is proposed. The proposed algorithms employs three techniques: adaptive grid algorithms, which can obtain the valid density value of particles in Archive set Pareto optimal solution searching algorithm, which can equalize the ability of global and local searching Archive pruning techniques, which can remove inferior particles in Archive set to fix the size of Archive set. The algorithm is applied to solve multi-objective optimal regulation of Three Gorges. The simulation performance indicates the effectiveness of the presented algorithm with regard to solving the large scale complex multi-objective optimization problem.)

matlab符号计算工具箱PDF，包含所有的符号计算函数的说明(matlab symbolic computation toolbox PDF, containing all the symbolic computation function description)

i need nmotb ncodase tfor readg my fpruihg

关于反应谱精确法的求解，是大家经常做反应谱分析用到的(About response spectrum method of solving the accurate, we are often do response spectrum analysis of use )

胡晓东，董辰辉.MATLAB从入门到精通[M]的m文件(Hu Xiaodong, Dong Chen-hui. MATLAB from entry to the master [M] m-file)

Two dimension searching tool for minimizing

这是一个可以把四张图片合成一张图片的程序(This is a synthesis of four images can be a picture of the process)

说明：  CA算法可以将数量型属性划分成若干个优化的区间，它综合了分层聚类于划分聚类的优点，对于给定的不同的初始类个数，CA算法能随着迭代过程的不断进展改变类的数目，一些竞争力差的类即类的基数小于给定阙值的类将在迭代过程中不断消失，最终得到能够有效体现数据实际分布情况的优化聚类个数。(CA algorithm for quantitative attributes can be divided into a number of the interval optimization, hierarchical clustering which combines the advantages of clustering in the division, for a given number of different types of initial, CA algorithm as the iterative process the continuous progress of change in the number of categories, some categories of poor competitiveness of the base type that is less than the value of a given category Que iterative process will continue to disappear and eventually be able to effectively reflect the actual distribution of data to optimize the number of clustering.)