(Calculus-.7ed)-.James.Stewart

利用emd算法解决经验模式分解的一些存在的端点效应问题。 有效的解决了问题。(Using emd algorithm to solve some of the empirical mode decomposition end effects exist. Effective solution to the problem.)

基于最小二乘法的抛物面拟合，内含有模拟数据和真是数据供参考。(Contains analog data based on the method of least squares parabolic fitting, and is really data for reference.)

生物反馈模拟，对米氏方程进行计算，并作出模拟图(a simulation for feedback)

建筑结构单自由度结构在地震作用下的位移响应杜哈梅积分求解(The SDOF structure of building structures under earthquake displacement response Du Hamei Integral Solution)

读取csv文件的数据，按要求拉算出平均数(Read csv file data, calculate the average number required to pull)

分别采用GMM和KDE对Iris数据集进行密度建模，并进行对比。通过EM算法来确定GMM参数，通过交叉验证来确定K值(GMM and KDE respectively Iris data set of density modeling, and compared. GMM by EM algorithm to determine the parameters of K determined by the value of cross-validation)

二维交错网格声波模拟（加PML边界条件）地震(Two-dimensional staggered grid acoustic simulation (plus PML boundary conditions) earthquake)

本程序可模拟ND情况下的傅里叶变换，经过验证无误(This program can simulate the Fourier transform of the ND situation, and after the test, the program is correct )

说明：  最优化课程中的最速下降法matlab程序，利用了wolfe搜索和armijo线搜索(Matlab program of steepest descent method in optimization course, using Wolfe search and Armijo line search)

说明：  局部线性回归方法及其稳健形式已经被看作一种有效的非参数光滑方法.与流行的核回归方法相比,它有诸多优点,诸如:较高的渐近效率和较强的适应设计能力.另外,局部线性回归能适应几乎所有的回归设计情形却不需要任何边界修正。(Local linear regression methods and their solid form has been seen as an effective non-parametric smoothing method. Contrary to popular kernel regression methods, it has many advantages, such as: higher efficiency and stronger asymptotic adaptation design capacity. In addition, the local linear regression to adjust to the return of the design of almost all cases does not require any boundary amendment.)