matlab-delete

用于求解半线性椭圆问题的瀑布型多网格算法，可以求解到很高的精度，(Used to solve semi-linear elliptic problem Falls Multi-grid method, you can solve to a high precision,)

自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。 在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。 二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。 BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线(The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods. Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs. Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t)

地震勘探中经常用到的MATLAB工具包，将会对你有很大的帮助！(Frequently used in seismic exploration MATLAB toolkit will be a great help for you!)

RSA公钥密码加密算法程序实现，matlab程序，运行正确。(The algorithm program, RSA public key cipher encryption matlab program, run the correct.)

求PI的值，根据莱布尼茨公式求PI，PI=4*（1-1/3+1/5-1/7+1/9-1/11+……(PI uated, find PI, PI= 4* (1-1/3+1/5-1/7+1/9-1/11+ Leibniz formula based on ......)

说明：  PSO和GA的结合，优化结果明显提升，PSO是粒子群优化算法，GA是遗传算法(The combination of PSO and GA improves the optimization results. PSO is a particle swarm optimization algorithm and GA is a genetic algorithm.)

一维fdtdMATLAB程序，主要用于处理问题电磁场(FdtdMATLAB one-dimensional process, is mainly used to deal with the issue of electromagnetic fields)

采用谐波合成法模拟脉动风，可为脉动风的模拟提供参考(Using harmonic synthesis simulation of fluctuating wind can provide references for simulation of fluctuating wind)

无线传感器网络经典分簇算法仿真，很好实现算法的编程！！！！！！(Wireless sensor network simulation of the classic clustering algorithm )

标准粒子群算法PSO，matlab实现，处理彩图或灰度图(Standard particle swarm optimization PSO)