pls2

说明：  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 Gradient) is a method between the steepest descent method and Newton's method. It only uses the first derivative information, but overcomes the disadvantage of slow convergence of steepest descent method, and avoids the disadvantage of storing and calculating Hesse matrix and solving inverse of Newton's method. Conjugate gradient method is not only one of the most useful methods to solve large-scale linear equations, but also the most effective method to solve large-scale nonlinear optimization One of the algorithms of. Among all kinds of optimization algorithms, conjugate gradient method is very important. It has the advantages of small storage, step convergence, high stability and no external parameters.)

姿态更新算法之一：方向余弦法,直接求解姿态矩阵微分方程(Attitude updating algorithm: direction cosine method, the direct matrix differential equation solving attitude)

ANSYS二次开发自定义破坏准则子程序(ANSYS subroutine)

对于PID算法给予了通俗易懂的讲解，有利于初学者快速掌握PID的要领(I give the PID algorithm the understandable explanation，which will help beginners to quickly master the PID essentials)

二阶精度的FDTD正演算法，可用于井间电磁波探测模拟(The accuracy of the second order FDTD are algorithm Can be used to detect simulation between Wells electromagnetic waves )

this is an inverted matrix in labview

belief propagation algrithm

说明：  采用电磁仿真软件HFSS进行雷达散射截面(RCS)计算实例.(Monostatic Radar Cross Section)

自适应滤波器的LMS算法实现，主要实现滤波和算法的方法。(adaptive filter)

Fluent 学习文件 全方位的指导手册 (Building geometry Setting boundary condition types)