高斯拟合

说明：  贝叶斯网络学习算法——k2算法，包括对贝叶斯网络结构的学习，最后生成网络(Bayesian network learning algorithm- k2 algorithms, including Bayesian network structure learning, the last generation network)

最优解回溯法0-1问题，为了构造最优解，必须在算法中记录与当前最优值相应的当前最优解。(The optimal solution backtracking 0-1 must be recorded in the algorithm, in order to construct the optimal solution, corresponding to the current optimal value, the current optimal solution.)

边界元法，可以求解外声场、内声场,在此基础上可以开发出快速边界元法(boundary element method for acoustic problem)

基于D2Q9模型的LBM程序，用于计算方腔驱动流，对应何亚玲《格子Boltzmann方法的理论及应用》一书的源码(LBM D2Q9 model-based program used to calculate the square cavity driven flow, which corresponds He Yaling " Lattice Boltzmann Method Theory and Applications," a source book)

根据传输线理论，计算无耗传输线的输入输出阻抗，画图表示电压电流和阻抗随线路长的变化(Based on transmission line theory to calculate the input and output impedance of the lossless transmission line, drawing, said the change of voltage, current and impedance with the line length)

说明：  用于在数值分析中，对于离散点进行拉格朗日差值拟合(Lagrangian difference fitting)

支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合(Support vector machines and BP neural network can be used for non-linear regression fit, but they is not the same principle, support vector machine based on structural risk minimization theory, generally considered its generalization ability than the neural network of strong . Inherent defect- a large number of simulation confirmed that generalization ability of support vector machine is stronger than the BP network, but also to avoid neural network training results unstable. The source code can be used for linear regression, nonlinear regression, nonlinear function fitting a variety of applications, data modeling, forecasting, classification)

电力系统连续潮流计算，以牛拉法潮流计算为基础，用来求解系统的PV曲线。(Continuous power system load flow calculation, using bovine Rafah flow calculation, based on the system used to solve the PV curve.)

说明：  matlab调用cplex12.1的例子，这些例子对matlab的cplex接口函数做了非常详细的说明，适用于cplex-matlab的初学者(matlab call cplex12.1 the examples that the cplex interface function of matlab to do a very detailed explanation for beginners cplex-matlab)

二维贴体网格 fortran 源程序；偏微分方程生成网格，附详细的说明文档(body-fit mesh generation, two dimension)