HGT

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.)

使用matlab进行分位数回归，类似于R语言中的quanterg包(Quantile regression using MATLAB)

求解声学问题的边界元程序，给声学研究的人员很大启发(Solving the problem of acoustic boundary element program, to inspire great acoustic research staff)

EFIE-电场积分方程的详细推倒过程，对于初步学习电磁场的人很有用。(Electric field integral equation EFIE-down process in detail, the electromagnetic field for the preliminary study were very useful.)

己知一些离散的点，使用matlab利用最小二乘法拟合(Had a number of discrete points, with linear least squares fitting)

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)

SOLA-VOF program solving Navier-Stokes equation with free surface by volume of fluid method

合肥工业大学数值分析（计算方法A）中高斯—塞德尔算法的实现(Gauss- Seidel Algorithm)

一个drucker prager模型的 的用户子程序，用于求解平面应变问题 abaqus UMAT and inp(drucker prager yield model for abaqus )

CG共轭梯度法迭代解矩阵方程，Hhestens和Stiefel给出，(Conjugate gradient method CG iterative matrix equation solution, Hhestens and Stiefel given)