《遗传算法及其在电力系统中的应用》2002

气泡根据内外压力差变化的动网格。。。。。。(bubble dynamic mesh )

气液平衡数据进行NRTL参数最小二乘法拟合(VLE NRTL fitting)

安德森《计算流体力学及其应用》第九章不可压库埃特流的数值解 9.3节 数值方法：隐式克兰克—尼科尔森方法。(Anderson the computational fluid mechanics and its application "chapter 9 do not YaKu etta flow numerical solution of section 9.3 numerical methods: implicit g frank- Nicholson method. )

for counting a bunch of solar cell

数值计算各算法的程序,包括:牛顿迭代法,超松驰迭代法,微分法等.对于初学数值分析这门课程的人有很大的帮助.(Numerical calculation procedure of the algorithm, including: Newton iteration, ultra-relaxation iteration method, differential method and so on. Beginner numerical analysis for this course were very helpful.)

可进行最小二乘法线性拟合输出，包含源代码及生成后的程序(Least-squares linear fit can be output)

说明：  Godunov格式和Roe格式求解Burgers方程(Godunov scheme and Roe scheme for solving Burgers equation)

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)

说明：  特征选择验证（FSV：Feature Selective Validation）方法是IEEE标准1597.1所确立的电磁仿真有效性评估体系的核心方法，该程序采用matlab实现了FSV方法的可信度分析，可用于两组数据之间的相似度分析。(FSV (feature selective validation) method is the core method of the effectiveness evaluation system of electromagnetic simulation established by IEEE standard 1597.1. The program uses MATLAB to realize the reliability analysis of FSV method, which can be used for the similarity analysis between two groups of data.)

一个有限元计算的例子,初学者可以参考，简单易看懂(an example of FEm computation)