▍1. simple_beam
一个简单的悬臂梁基于Python有限元程序，包括了计算程序，模型数据(A simple cantilever Python-based finite element program, including a computer program, data model)
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▍2. avalanche-master
计算回测程序，多因子选股模型，单因子测试(Calculation of back - test program, multi - factor stock - picking model, the single factor test)
▍3. crackprop_modeI_lefm_xfem_cpe4
crackprop_modeI_lefm_xfem_cpe4，ABAQUS基于线弹性断裂力学的扩展有限元法实例。(crackprop_modeI_lefm_xfem_cpe4 ABAQUS based on linear elastic fracture mechanics extended finite element method instance.)
▍4. BESOpython
BESO的python程序，对于进行abaqus的二次开发很有帮助，这样可以将有限元单独在abaqus中进行处理，而优化算法则采用python进行编写(BESO python program, for the secondary development abaqus helpful, so that the finite element can be handled separately in abaqus, while the optimization algorithm is written in python)
▍5. lbmFlowAroundCylinder
格子玻尔兹曼 圆柱绕流 Python编写(lattice boltzmann flow around a cylinder, using Python. very fast because of numpy library)
▍6. MachineLearning
说明： 机器学习的鸢尾花数据集的应用逻辑回归算法分类(Classification of iris data set by logical regression algorithm)
▍7. abaqus
abaqus 施加周期性边界条件脚本，通过General_Mpc_Cube输入正确的模型和部件文件运行。(ABAQUS applies periodic boundary conditions to scripts)
▍8. sce-ua
vic模型参数率定代码，用Python编写(VIC Model Parameter rate code, written in Python)
▍9. 数据提取W-E-xian-2015
说明： 通过面积加权在abaqus程序中提取温度作用数据，计算极值(The temperature action data was extracted by area weighting in abAQUs program and the extreme value was calculated)
▍11. Average stress
计算多材料单元平均应力应变,用于提取计算等效弹性模量 泊松系数(Calculate the average stress-strain of multi-material elements)
▍12. 最小二乘曲线拟合
基于Python编写的用于曲线拟合，最小二乘法(Based on Python for curve fitting, least squares method.)
▍13. calc_RL
根据电磁参数,介电常数实部和虚部，磁导率的实部和虚部，计算反射损耗。(calculating the reflection loss from the electromagnetic parameters)
▍14. Time_Series_Analysis
ARIMA算法的Python实现，预测时间序列数据。 附两个数据： AirPassengers UK Traffic flow(The Python implementation of the ARIMA algorithm predicts the time series data. Two data are attached. AirPassengers UK Traffic flow)
▍15. jMetalPy-master-python
用Python语言写的多目标进化算法库（2017年最新版本），包含常见的多目标进化算法以及当前最新文献中的最新算法，能够实现不同算法之间的性能比较（包含常见的GD, IGD, HV等评价指标自动生成）。可以供进化计算、多目标优化、单目标优化算法的学习参考。Python语言版本简单易懂，实用性强。(Library of multi-objective evolutionary algorithm written in Python language (the latest version in 2017), including multi-objective evolutionary algorithm and the most common new literature in the new algorithm, can realize the performance between different methods (including the common GD, IGD, HV and other evaluation index generation). It can be used as a reference for evolutionary computation, multi-objective optimization and single objective optimization. Python language version is simple and easy to understand, practical.)
▍16. 主成分分析
说明： 利用python进行因子分析,因子分析可以进行降维!(Using Python factor analysis, factor analysis can reduce dimensionality!)
▍17. Godunov格式和Roe格式求解Burgers方程
说明： Godunov格式和Roe格式求解Burgers方程(Godunov scheme and Roe scheme for solving Burgers equation)
▍18. 数值积分
说明： 1. 常用的数值积分方法(特别是梯形法、Simpson方法、 Cotes公式、Romberg算法以及Gauss 求积公式)的原理； 2. 复合梯形公式，复合Simpson公式，Romberg算法的程序(1. Commonly used numerical integration methods (especially trapezoid method, Simpson method Cotes formula, Romberg algorithm and Gauss quadrature formula); 2. Program of compound trapezoid formula, compound Simpson formula and Romberg algorithm)
▍19. Galileo_singlefrequency
Galileo单频定位程序，能基于rinex文件实现高精度定位，供编写时参考(Galileo single-frequency positioning program can achieve high-precision positioning based on RINEX file for reference when writing.)
▍20. Galileo_singlefrequency
说明： Galileo单频定位程序，能基于rinex文件实现高精度定位，供编写时参考(Galileo single-frequency positioning program can achieve high-precision positioning based on RINEX file for reference when writing.)
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