Finite element mesh generation

整数位运算及二进制显示。指定整数类型（byte，short,char,int)输入若干整数，选择位运算（&、|、^),显示位运算结果及整数二进制形式(The integer bitwise operations and binary display. Specified integer types (byte, short, char, int) Enter the number of integer bit arithmetic (& , |, ^), showing the result of the operation and integer binary form)

随机数生成程序，该随机数呈zipf分布，就是大家常说对于内容的访问遵循80/20原则，也就是20 的内容，会占有80 的访问量。(Random number generator, the zipf was distributed random numbers, that is, we often say that the access to the content to follow the 80/20 principle, which is 20 of the content will occupy 80 of visits.)

简单的滤波代码，包含高通滤波，低通滤波，带通滤波和带阻滤波。( U7B80 u5E5 u6E4 u6E4 u6E1 u6E1 u6E2 U5E26 u963B u6EE4 u6CE2 u3002)

frictional model to analysis in abaqus, a good subroutine to build a new frictional relationship

利用风速u,v计算海表风应力以及风应力旋度。(Calculation of sea surface wind stress and wind stress curl.)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method between the method and Newton' s method, it takes only a first derivative information, but to overcome the steepest descent method convergence slow shortcomings, but also to avoid the Newton method needs to be stored Hesse and disadvantages of computing inverse matrix and the conjugate gradient method is not only one of the most useful methods to solve large linear equations, solution of large-scale nonlinear optimization is one of the most effective algorithm. In various optimization algorithm, conjugate gradient method is a very important one. The advantage is that a small amount of memory required, with step convergence, high stability, and does not require any external parameters.)

Generic templates of algorithms for sparse matrixs

基于FDK的锥束CT全三维重建算法，Matlab语言版本。(FDK cone-beam CT based full three-dimensional reconstruction algorithm, Matlab language version.)

计算方法：主要是高斯消去法的C语言算法实现(Calculation method: Gaussian elimination)

牛人Matthew Pais，精通扩展有限元、abaqus、matlab,此博士论文详尽描述了XFEM的理论与编程思想。 (Professor Matthew Pais who is proficient at Extended Finite Element、abaqus, matlab。This paper describes the the XFEM theory and matlab programm ideas in detail.Now it is open to you ,my friends!)