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Locally linear embedding(LLE)是一个经典的流形学习降维方法，通过LLE发现高维数据潜在的内在维数，可以简化计算、方便可视化处理等。(Locally linear embedding (LLE) is a classic manifold learning dimensionality reduction method, discovered by LLE potential inherent high dimensional data dimension, the calculation can be simplified to facilitate visual processing.)

input lower limit,upper limit and the intervals to find the area of a funcion using simpson rule

采用有限元的方法求解计算捕捉问题predator-prey (program which applies the finite difference method to estimate solutions of a pair of ordinary differential equations that model the behavior of a pair of predator and prey populations. )

Introduction to Mathlab ebook

matlab写的pso程序，程序已经运行通过，有较高的执行效率(Matlab write PSO procedures, operational procedures have been adopted, a higher efficiency in the implementation of)

用于蒙特卡洛monte calro仿真方法的模拟(For the Monte Carlo simulation method simulation monte calro)

dbscan聚类代码及说明，包含多个文件的代码。(DBSCAN clustering code and description)

说明：  实现的变步长LMS自适应滤波的matlab程序(Matlab program of variable step size LMS adaptive filtering)

在Matlab环境下完成线性外插和内插数值算法，包含多维数据插值计算。( interpne: Interpolates and extrapolates using n-linear interpolation (tensor product linear) )

Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.