mom_2052

this is for edge detection algorithm.......

在matlab环境下的高斯消元法的程序，主要用了列主元法。(Gaussian elimination program in the Matlab environment, with a column main element method.)

电力系统的潮流计算 其中的方法是牛顿拉夫逊算法(Power flow calculation method which is the Newton Raphson algorithm )

matlab实现的各种优化算法，包括牛顿-拉普森，牛顿-梯度下降等。(matlab optimization algorithm, including newton-raphson, newton-gredient and so on.)

说明：  SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能： 实验设计：中心复合设计，全因子设计，拉丁超立方体设计，D-optimal和maxmin设计。 代理：克里金法，多项式响应面，径向基神经网络和支持向量回归。 错误和交叉验证的分析：留一法和k折交叉验证，以及经典的错误分析（确定系数，标准误差;均方根误差等;）。 基于代理的优化：高效的全局优化（EGO）算法。 其他能力：通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities: Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression. Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others). Surrogate-based optimization: efficient global optimization (EGO) algorithm. Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.)

Constrained_only nolinearPSOkarseb

说明：  用Matlab实现多目标遗传算法的源代码(Multi-objective genetic algorithm source code)

该程序用于对绝对量EKF和相对量EKF进行比较(The procedure is used to compare the EKF in absolute amount and EKF in relative amount)

This Filter provides a selective mean (averaging) lter. In contrast to the standard mean lter,it preserves edges better and is less sensitive to outliers(outliers are those that are not included in the measurement taking place.In this case averaging). The lter smooths an image by taking an average over the neighbouring pixels, but only includes those pixels that have a value not deviating from the current pixel by more than a given range. The range is dened by the standard deviation of the pixel values within the neighbourhood . If the number of pixels in this range is too low (less than `Minimum Pixel Fraction ), averaging over all neighbouring pixels is performed.With the `Outlier Aware option, averaging over all neighbouring pixels excludes the center pixel.

Feedback linearization input - state