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用matlab编写的关于用传输矩阵法计算一维光子晶体的透射率随周期数变化的程序,感觉非常有用(using Matlab prepared on the use of the transfer matrix method one-dimensional photonic crystal with the transmission cycle Change The procedure, a very useful)

基于D2Q9模型的LBM程序，用于计算方腔驱动流，对应何亚玲《格子Boltzmann方法的理论及应用》一书的源码(LBM D2Q9 model-based program used to calculate the square cavity driven flow, which corresponds He Yaling " Lattice Boltzmann Method Theory and Applications," a source book)

计算同轴电缆的时域有限差分算法的matlab程序(Finite-difference time-domain algorithm matlab program calculated coaxial cable)

有限元常用子程序模块，WORD版内含各种有限元法C++编程的子模块(finite element commonly used subroutine modules, Word version containing various Finite Element Method C Programming Module)

采用递推最小二乘法在时域范围内辨识传递函数(Recursive least squares method identification in the time domain transfer function)

gmres 方法。视图求解线性方程组A*x=b的解x。nXn的稀疏矩阵A必须是方程且应是大型稀疏矩阵。列向量b的长度必须为n。(gmres method. View solving linear equations A* x = b the solution x. nXn sparse matrix A must be equation and should be large sparse matrix. The length of the column vector b must be to n.)

LAPACK，其名為Linear Algebra PACKage的縮寫，是一以Fortran程式語言寫就，用於數值計算的函式集。 LAPACK提供了豐富的工具函式，可用於諸如解多元線性方程式、線性系統方程組的最小平方解、計算特徵向量、用於計算矩陣QR分解的Householder轉換、以及奇異值分解等問題。(LAPACK (Linear Algebra PACKage) is a software library for numerical linear algebra. It provides routines for solving systems of linear equations and linear least squares, eigenvalue problems, and singular value decomposition. It also includes routines to implement the associated matrix factorizations such as LU, QR, Cholesky and Schur decomposition.)

copula工具箱，可以进行copula计算，比自带的更加好用(copula toolbox)

滑动轴承接触滑块的计算方法，给定雷诺方程和膜厚方程，然后用迭代方法计算压力分布和膜厚分布，以及承载能力(The calculation method of the sliding bearing contact with the slider, a given Reynolds equation and the film thickness of the equation, and then calculated using iterative methods pressure distribution and film thickness distribution, as well as carrying capacity)

计算灰色关联度，包含灰色绝对关联度、相对关联度和归一关联度(Calculate the gray relational grade, contains gray absolute degree relative correlation degree and normalized correlation degree)