RLS

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.)

3-D 目标MoM源代码 可以求解球体，旋转体等目标的电磁散射问题(MoM )

基于预估校算法的分数阶混沌系统的Lyapunvo指数计算程序(Lyapunvo exponent calculation program for fractional order chaotic systems based on predictor algorithm)

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)

施威德勒球壳在ansys中的建模分析，APDL语言(Of Schwedler shell modeling in ansys, APDL language)

模糊数学中典型的卡车倒车入库模拟仿真程序，充分利用了一定的经典的模糊规则，来实现卡车倒车的模拟(typical truck reversing the arsenal of simulation procedures and make full use of a certain classic fuzzy rules to achieve the reversal of simulated truck)

这是一个基于模拟退火算法的混沌神经网络模型(This is an algorithm based on simulated annealing chaotic neural network model)

读入断面数据，根据地形，水位,进行相应计算 (calculate the area and depth )

用幂法反幂法求解方阵的最大最小特征值及其特征向量，C语言程序，基本的数值计算算法(power method and inverse power method)

对于网格上每个点求取法向量的方法，程序实现的比较好(Compute normal vectors of 2.5D triangulation)