fractal

计算方法：主要是高斯消去法的C语言算法实现(Calculation method: Gaussian elimination)

abaqus 施加周期性边界条件脚本，通过General_Mpc_Cube输入正确的模型和部件文件运行。(ABAQUS applies periodic boundary conditions to scripts)

渗流计算，渗流浸润线的计算，溢出点高程的确定(seepage computation)

算法优化非常好，几乎没有循环，Relief计算分类权重，包括四元数的各种计算。( Algorithm optimization is very good, almost no circulation, Relief computing classification weight, Including quaternion various calculations.)

下面我们将给出一些基于Galerkin有限元法的微型泵模拟结果，模拟过程在商业软件COMSOL Multiphysics 3.2中实现。数值求解采用压力修正算法——SIMPLE，它首先假设一个压力场，然后通过求解不可压缩流动的Navier-Stokes方程得到速度场。这些速度不需要满足Possion型连续方程，所以对压力场的修正也带来速度场的修正，最终满足质量守恒。求解速度场的同时计算电势场方程。这会得到Lorentz力，然后将其反馈回N-S方程并作为体积力处理。连续耦合Lorentz力和速度场直到Newton迭代收敛。 (Below we will give some micro-pump simulation results based on the Galerkin finite element method, the simulation process in the commercial software COMSOL Multiphysics 3.2. The numerical solution of pressure correction algorithm- the SIMPLE, it begins by assuming a pressure field, and then by solving the incompressible Navier-Stokes equations, the velocity field. These velocities do not need to satisfy the continuity equation of Possion type pressure field correction to bring the amendment of the velocity field, and ultimately to meet the conservation of mass. Solving the velocity field at the same time to calculate the potential field equations. This will be the Lorentz force, and then fed back to the NS equations and processing as a volume force. Continuous coupling of the Lorentz force and the velocity field until the Newton iteration convergence.)

传输矩阵法模拟光子晶体的模拟程序，好用，特别对于研究人员！(transfer matrix method photonic crystal simulation and the simulation and ease of use, especially for researchers!)

用fortran语言读取NC格式的数据,与大家分享，希望能够共同进步哈，谢谢(Used fortran language to read NC data format to share with you, hoping to make progress together Ha, thank you)

这个程序是三次样条厄米特插值程序，可以用于拟合函数，做出图形(This program is a cubic spline Hermitian interpolation procedure can be used for the fitting function to make the graphics)

BP神经网络的整个训练过程,matlab编写的元胞自动机，独立成分分析算法降低原始数据噪声。( The entire training process BP neural network, matlab prepared cellular automata, Independent component analysis algorithm reduces the raw data noise.)

利用楚列斯基分解法和平方根法分解对称矩阵，较为实用(use the Cholesky method and esquare-root method to solve the problem of Triangle decomposition of matrix)