Agapoive

WRF模拟结果气象要素的检验对比，包含均方根误差，偏差和相关系数等(WRF simulation test results comparing meteorological elements, including the root mean square error, deviations and correlation coefficients)

从旋转矩阵到四元数的转换，matlab代码。(From the rotation matrix to quaternion conversion, matlab code.)

说明：  Cavity Matlab SIMPLE algorithm

《计算理论导引》(作者)[美] Michael Sipser(译者)张立昂 王捍贫 黄雄 机械工业2000年2月第1版.pdf(Computational Theory，(Author) [America] Michael Sipser (translator) Zhang Li Ang Wang Hanpin Wong Hung Machinery Industry in February 2000 1st edition. Pdf)

说明：  在学习数字信号处理算法程序中用VC编写的几个通用算法程序。 卷积计算/DFT与FFT实现/(In the learning process of digital signal processing algorithms using VC General Algorithm for the preparation of several procedures. Convolution calculation/DFT and FFT realization /)

计算流体力学软件FLUENT计算空气龄的udf文件(FLUENT CFD software udf file to calculate the air age )

通过标准方法实现结构加速度的线性积分问题(Implementation structure by standard methods of linear integral of acceleration)

说明：  利用时域有限差分计算电磁场，采用时域算法计算(Calculation of electromagnetic field by FDTD)

SAP2000软件具有框架单元、索单元、板单元、壳单元、平面单元、实体单元、连接单元、铰单元等单元，提供线性和非线性、静力和动力分析，可以进行静力分析、振型分析、反应谱分析、时程分析、曲屈分析、移动荷载分析、稳态分析、功能谱密度分析、静力Pushover分析、施工顺序加载分析等。 SAP2000是通用有限元分析与设计软件，适用于桥梁、工业建筑、输电塔、设备基础、电力设施、索膜结构、运动场所、演出场所等特种结构。 (SAP2000 software has a frame unit, cable unit, plate elements, shell elements, plane elements, solid elements, connecting elements, hinge unit and other units to provide linear and nonlinear, static and dynamic analysis, static analysis, vibration type of analysis, response spectrum analysis, time history analysis, buckling analysis, the moving load analysis, steady-state analysis, spectral density function analysis, static Pushover analysis, construction sequence loading analysis. SAP2000 is a general-purpose finite element analysis and design software for bridges, industrial buildings, transmission towers, equipment foundations, electrical facilities, cable-membrane structures, sports facilities, venues and other special structures.)

运用粒子群算法解决电力系统无功优化问题,粒子群算法是一种可以解决有约束单目标最优化问题(Use the PSO to solve the reactive power optimization)