Backstepping_5

采用Newmarke线性加速度法由加速度时程求位移、速度、加速度的反应谱及动力放大系数(β)谱(The response spectrum and dynamic magnification factor (beta) spectrum of displacement, velocity, acceleration are obtained by using newmarke linear acceleration method)

这是关于单纯行算法的例程，时间也比较短 (This is a simple line on the algorithm routines, and time is relatively short)

this code can be use in deconvolution of seismic data.

国际数模竞赛的基础教程，供参加比赛的人学习(The basis of the number of Tutorials modeling contest for those who participate in the competition study)

In statistics, Isomap is one of several widely used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional scaling). Isomap is used for computing a quasi-isometric, low-dimensional embedding of a set of high-dimensional data points. The algorithm provides a simple method for estimating the intrinsic geometry of a data manifold based on a rough estimate of each data point’s neighbors on the manifold. Isomap is highly efficient and generally applicable to a broad range of data sources and dimensionalities.

非线性遗传算法的典型实例 基于matlab进行仿真实现的典型实例(Typical example of a typical example of nonlinear genetic algorithm based on Matlab Simulation)

以grach的方法来分析网络流量，并对网络流量进行预测，划定1980s为训练，以20s为预测(The grach method to analyze the network traffic, and to predict the network traffic, delineated 1980s for training, to 20s as the forecast)

Function to perform Principle Component Analysis over a set of training vectors passed as a concatenated matrix. Usage:- [V,D,M] = pca(X,n) [V,D] = pca(X,aM,n) where:- <input> X = concatenated set of column vectors aM = assume that the mean is aM n = number of principal components to extract (optional) <output> V = ensemble of column eigen-vectors D = vector of eigen-values M = mean of X (optional)

matlab knn图构建以及局部线性重构加权方法(graph construction of KNNG and locally linear reconstruction for weighting the edges of knng)

Short-Time Spectrum Analysis and Cepstral analysis