sui-dao

说明：  FLUENT中离散相粒子追踪设置及相关计算，设计用户自定义相关内容(Discrete phase particle tracking in FLUENT)

说明：  Neville插值算法，xa为自变量数组，xy为因变量数组；x为待插值的自变量(Neville interpolation algorithm, xa array as variables, xy array as the dependent variable x for the independent variables to be interpolated)

计算器编程代码，便于需要编程计算器的学员查询相关代码(Calculator programming code, to facilitate students in need of programming calculator related code)

将一些标准数值与非数值算法集中封装在几个DLL中,需要用时可在VB/Delphi/C#中分别调用,这里提供了3个小程序,分别用于线性方程组求根、计算行列式的值、矩阵求逆。(Some standard numerical and non-numerical algorithm focus on packaging in several DLL, it is necessary to use when in VB/Delphi/C# Call, respectively, this provides three small programs, respectively, for the roots of linear equations, calculation of the value of the determinant, matrix inversion.)

用于弹塑性本构的切线刚度计算，基于塑性本构的增量理论编写(flow theory coupled with damage failure criteria of the program for the vumat ABAQUS program, functional simulation load to failure of the process of destruction)

％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法， ％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵， ％ 而S代表一对角矩阵。 和QR分解法相同者， 原矩阵A不必为正方矩阵。 ％ 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解( Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution)

这是利用FFT分析相位差的程序，具有一定的参考价值！(This is done using FFT analysis phase of the program, has a certain reference value!)

传统的算法是基于邻接矩阵对网络指标进行计算，而大型网络通过稀疏矩阵保存。本研究编写了可以计算稀疏矩阵的经典传染病SIS模型的程序。(The traditional method is based on network indicators adjacency matrix computing, and large networks through sparse matrix saved. The study prepared by the epidemic SIS model can calculate the classical sparse matrix program.)

说明：  使用matlab进行 有限元计算，内含多种方式方法，欢迎交流讨论(Finite element calculation using matlab)

矩量法的fortran程序，利用矩量法求解球散射的程序，希望大家好好学习(mom fortran program)