Riemannmain

使用JAVA模拟FFFT算法 快速傅里叶算法 (Use JAVA simulation FFFT algorithm Fast Fourier Transform Algorithm)

基于多松弛因子的LB方法，运用C++编写方腔顶盖驱动流，计算方腔内流体的流场(Based on the LB method with multiple relaxation factors, the flow field of the square cavity top cover is written by C++, and the flow field of the fluid in the square cavity is calculated)

对流扩散方程一维的有限差分法，有限元法，特征有限差分法，特征有限元法代码(Convection diffusion equation of one dimensional finite difference method, finite element method, characteristic finite difference method, characteristic finite element method (fem) code)

基于前推回代法的电力系统潮流计算程序。 需要输入支路阻抗和节点功率矩阵。包括支路号、首节点号、尾节点号、支路自阻抗、尾节点给定功率。 输出各节点的电压幅值、相角和各支路电流。(Power flow calculation program based on the forward and backward substitution method. Need input the branch impedance node power matrix. Including branch number, node number, the tail node number, branch self-impedance tail node given power. The output node voltage amplitude, phase angle and current of each branch.)

最小二乘法(LS)仿真三个参考节点定位一个定位节点，包括仿真参数和过程数据收集(Least squares (LS) simulation of three reference nodes positioning a positioning node, including the simulation parameters and process data collection)

说明：  利用matlab实现的部分CFD功能的代码，很有参考价值(Matlab to achieve part of the CFD function of the code, a very valuable reference)

计算流体力学有限体积法程序开源代码改进版本，增加了湍流模型(An improved Edition of open source computational fluid dynamics finite volume method program, increased turbulence model)

阵列处理作业，MVDR或者其他高分辨方法，由于信号源无法确定，造成估计误差，采用对角加载的 增加单位阵法 ,以及 六源准则法 获取优化结果。(Array processing, MVDR, or other high-resolution method, the source can not be determined, resulting in the estimated error, the use of diagonal loading ' to increase the unit matrix method' , and ' six-source criteria method' to obtain optimal results.)

本程序用于电力系统不对称故障计算，matlab实现，希望有所帮助(This procedure for the asymmetry of power system fault calculation, matlab realize the hope that help)

这是2011年中国等离子暑期学校关于磁流体力学（MHD）的讲义，授课的老师是北京大学的王晓刚教授，非常经典！(This is the 2011 China Summer School on magnetic plasma hydrodynamics (MHD) lectures, taught at Peking University Professor Wang Xiaogang teacher, very classic!)