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二维对流扩散问题的各种求解方法结果的比较，采用有限体积法(Two-dimensional unsteady heat diffusion and convection equation and finite volume fortran program)

abaqus子程序fric摩擦材料clough-duncan模型，二三维通用，已经验证(abaqus subroutine frictional material fric)

介绍箱梁的有限元建模 网格划分 边界条件 加载 求解的命令流(Introduction of finite element modeling of the box girder meshing load boundary conditions for solving the command stream)

说明：  基于python的多项式曲线拟合，本程序以1 3 5 9次为例子。(Based on the polynomial curve fitting of python, this program takes 1 3 5 9 times as an example.)

Delphi实现最小二乘法，进行多点拟合，目前支持4点拟合(Delphi realizes the least square method and multi-point fitting. At present, it supports four-point fitting.)

最小二乘法的参数辨识研究。逐个的程序实现了最小二乘法算法以及实现的研究。(Least squares method of parameter identification studies. Procedures achieved by least squares algorithm and realize research.)

自己写了一个二维Euler方程的间断有限元程序 上次发了一个三角形单元的程序 因为不是曲边单元 所以在圆柱后面容易形成涡 现在把程序改为曲边四边形单元了 没有涡出现 单元是8节点四边形单元 节点编号顺序是 1 5 2 6 3 7 4 8 也就是四个角点依次 是1 2 3 4 然后是边的中点编号 5 6 7 8. 时间推进采用 Runge-Kutta 方法 数值通量采用全局Lax-Friedrichs通量 仍然不能捕捉激波 因为没有做重构或者加人工粘性 等这个做出来了 再发一次。 程序没有进行优化 比如说内存的消耗没有优化 比如直边单元的边界积分仍然采 用了曲边的积分方法 增加了计算量 比如面积分、线积分都是采用的是Gauss- Legendre-Lobatto积分 积分精度会比一般的Gauss-Legendre积分精度低一阶 等 等问题。 二维的 纯属交流性质 就没有考虑这些问题 ^_^ 如果物面全部是直边 那么只要改变一个参数N 就可以获得不同的计算精度 且具 有谱精度 因为单元的节点是Gauss-Legendre-Lobatto积分点。 其实就是谱元法 （物面是曲边的情况我不清楚是不是也可以通过提高基函数的阶数 也就是增加N 来提高计算精度）(Wrote a two-dimensional Euler equations with discontinuous finite element program Last made ​ ​ a triangular element of the program, not curved edge unit is so easy to form a vortex in the cylinder behind the Program to curved edge quadrilateral element vortices appear Unit is the order of 8-node quadrilateral element node number is 15,263,748 which is the four corners of the points in turn Is 1234 and then the side of the midpoint of the number 5678. Time promote the use of Runge-Kutta method Numerical flux of the overall situation of Lax-Friedrichs, flux Still can not capture the shock wave did not do the reconstruction or artificial viscosity do it Zaifayici. The program is not optimized for example, memory consumption is not optimized such as straight-edge boundary integral of the unit is still mining Integral method to increase the amount of computation such as surface integral with a curved edge, the line integral using the Gauss- The Legendr)

试试你的运气。随机输入0到9之间的四个数，看看你能得到多少公牛，多少母牛，嘿嘿。(Try your luck. Random input between 0 to 9 the number of four to see how much bull you can get, how many cows, hehe.)

说明：  用C语言编写多元线性回归方程，写得不好的地方请指教！(Using C language multiple linear regression equation, where poorly written, please advice!)

非负矩阵分解的matlab代码，内容全！希望对大家有用(Non-negative Matrix Factorization of matlab code, the contents of the whole! Hope useful for everyone)