calculate_material_component_values.m

计算Lyapunov指数的Wolf算法，本算法为Matlab(Calculation of Lyapunov index Wolf algorithm, the algorithm for Matlab)

典型梁元的考虑几何非线性效应的牛顿法迭代程序，使用者可以在此基础上添加自己的有限元程序(Consider typical beam element geometry of the Newton method of nonlinear effects of iterative process, the user can add their own based on the finite element program)

根据已有的二维波束成型进行功率分配后的曲线和阈值距离(about the 2d-beamforming of power loading and threshold distance )

simulation file for dq model for skill improvment and matlab

用于大矩阵，采用矩阵运算优先速度的dtw算法实现。 dtw:Dynamic time warping 动态时间弯曲算法(dtw:Dynamic time warping )

ahp的matlab程序，输入矩阵即可使用(ahp matlab program, you can use the input matrix)

介绍趋势外推的数学原理，为实现预测功能的matlab程序提供理论基础(Introduce trend extrapolation of mathematical principles to provide a theoretical basis function matlab program to achieve the forecast)

function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.

涡旋光束，幂指数涡旋光束，新型光束，捕获粒子，特殊光学(Vortex beams, exponential vortex beams, the new beam, trapped particles, special optical)

该文章主要是介绍滤波器的设计核心算法以及实例(This article mainly describes the design of filter core algorithm and example)