AGJDN

说明：  重力异常正演代码，请好好使用它。帮助学习。。。。(Gravity anomaly forward code, please use it well. Help learn)

利用Python实现特征的MinMax标准化和Z-Score标准化两种特征归一化方法。并用原特征、两种归一化特征分别进行朴素贝叶斯模型训练，比较模型性能。(Two normalization methods of MinMax normalization and Z-Score standardization are implemented by Python. The naive Bayes model is trained with the original features and two normalization features respectively to compare the performance of the model.)

用matlab进行简单的FDTD模拟计算，初学者可以看看。。。。。。(The FDTD simulation, beginners can take a look. . . . . .)

同时正交匹配追踪算法的MATLAB程序，一些文献中也被翻译成同步正交匹配追踪。(Simultaneous Orthogonal Matching Pursuit(SOMP))

计算流体力学;高精度7阶二维weno格式;矢通量分裂方法(Vector flux splitting in 7 order two dimensional WENO scheme)

说明：  朴素贝叶斯算法，以函数形式实现，花了一个上午的时间(Naive Bayes algorithm, in order to function the form of implementation, a morning flower time)

基于内点法的最优潮流计算，跟踪中心轨迹内点法最优潮流程序 实现了有功损耗最小的经济分配。(Optimal power flow calculation based on interior point method, the point-of-flight optimal power flow program in the tracking center trajectory achieves the economic distribution with the least active loss.)

说明：  集合卡尔曼滤波(EnKF) 数据同化方法可以避免了EKF 中协方差演变方程预报过程中出现的计算不准确和关于协方差矩阵的大量数据的存储问题,最主要的是可以有效的控制估计误差方差的增长,改善预报的效果。(Ensemble Kalman Filter (EnKF) data assimilation methods can be avoided in the EKF covariance forecasting the evolution equation arising in the course of the calculation is not accurate and on the covariance matrix of a large amount of data storage problems, the most important and effective control can be estimated error variance of the growth, improvement in forecasting results.)

储层产能预测文献，对于研究利用测井进行产能预测有帮助！(Prediction of Specific Productivity Index for Sihapas Formation in Uncored Wells of Minas Field Using Limited Available Core and Log Data)

粘弹性介质中面波正演模拟，基于变网格函数伪谱法模拟，模拟精度高(The viscoelastic medium surface waves forward modeling, based on a function of the variable-grid pseudospectral method simulation, simulation accuracy)