Abaqus+VS+fortran

lbm 开源软件 palabos 教程 可以尽快上手进行计算(calculated lbm open source software palabos tutorial can be started as soon as possible)

用谱方法计算流体力学一些流动现象的整体稳定性,利用自然梯度算法，包括四元数的各种计算。( Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Use of natural gradient algorithm, Including quaternion various calculations.)

一维黎曼问题，计算流体力学，C和Frotran预言代码(Riemann problem)

Code for Classification of points

一个机器学习的python文件，里面拥有各种机器学习方法，可以供大家参考(A Python file for machine learning, which has various machine learning methods, can be used for your reference.)

本书介绍了XFEm在结构件的断裂分析中的应用(this book introduces the application of XFEM in the field of fracture analysis)

说明：  弹性波中瑞雷波的正演计算。求解多层瑞雷波频散曲线。计算速度快。（专业小软件）(elastic wave Rayleigh wave to the calculation. Solving multi-storey Rayleigh wave dispersion curves. Calculation speed. (Professional small software))

复化求积公式计算定积分 包括 复化梯形 复化辛普森 等(complexification quadrature formula to calculate definite integration)

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.)

幻方 (magic cube )