GS2

雅可比迭代（过关法）计算实对称矩阵的特征值和特征向量(Jacobi iteration (immigration law) the calculation of Real Symmetric Matrix Eigenvalues and eigenvectors)

递归神经网络-实时学习训练算法代码，亲测可用，简洁无误，容易上手。( Recursive neural network- real-time learning training algorithm code, pro-test available, simple and correct, easy to use.)

随机生成裂缝网格，由于地下水文学模拟，及裂缝网格连通性计算。(Randomly generated grid of cracks, due to subsurface hydrology simulation and calculation of cracks grid connectivity.)

阻尼牛顿法、最速下降法、变尺度法的matlab程序。(Damped Newton' s method, steepest descent method, variable metric method matlab program.)

程序计算在声速梯度下水中声线的传播并计算声线的长度(Program calculates the velocity gradient in the water line of acoustic sound propagation and calculate the length of the line)

说明：  三维FDTD程序,一个Fortran写的三维FDTD程序(Three-dimensional FDTD procedure, a Fortran program written by three-dimensional FDTD)

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(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and Newton' s method between a method that takes only a first derivative information, but to overcome the slow convergence of the steepest descent method shortcomings, but also avoid the need to store Newton and computing the inverse Hesse matrix and disadvantages, conjugate gradient method is not only to solve large linear equations of the most useful methods, large-scale nonlinear optimization solution is the most efficient algorithms)

使用拉格朗日乘子法解约束优化问题，例子是最优化问题，有3个线性约束(Using the Lagrange multiplier method to solve the constrained optimization problem)

分数阶傅立叶变换程序总结，共有6个程序。(Fractional Fourier Transform program summary, a total of six procedures.)

利用abaqus软件建模，然后将inp文件导入flac软件中。(ABAQUS software is used to model, and then the InP file is imported into the FLAC software.)