# Mathematical-Modeling

**Repository Path**: wbm2021/Mathematical-Modeling

## Basic Information

- **Project Name**: Mathematical-Modeling
- **Description**: A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 2
- **Forks**: 1
- **Created**: 2022-01-09
- **Last Updated**: 2024-10-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Mathematical-Modeling

A sharing of the learning process of mathematical modeling.<br/>
数学建模常用工具模型算法分享。

## Our papers
We were luckly designated as the Meritorious Winner in 2021 MCM-ICM. Here are [our paper and codes](./Our_Paper).

## Some tools
* [LaTeX](./LaTeX) is a writing tool which may help you write professional-looking documents that include complex math expressions or non-Latin scripts. <br/>
* [SPSS](./SPSS) is a software which is used for statistical analysis operations, data mining, predictive analysis and decision-making. It may help you edit and analyze many sorts of data more easily.

## Some problems and papers
* [The Problems of MCM-ICM in 2021](./2021_MCM-ICM_Problems)
* [The Outstanding Papers of MCM-ICM in 2019 and 2020](./Outstanding_Papers_of_MCM-ICM) 

## Some commonly used algorithms and models
### Evaluation models
* [层次分析法Analytic Hierarchy Process(AHP)](./Analytic_Hierarchy_Process(AHP))

* [优劣解距离法Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)](./Technique_for_Order_Preference_by_Similarity_to_an_Ideal_Solution(Topsis))

* [秩和比综合分析法Rank-sum ratio(RSR)](./Rank-sum_ratio(RSR))

* [熵权法The entropy weight method(EWM)](./The_entropy_weight_method(EWM))
### Predictive models
* [马尔科夫链Markov Chain(MC)](./Markov_Chain(MC))

* [蒙特卡洛算法Monte Carlo methods(MCM)](./Monte_Carlo_method(MCM))

* [时间序列分析Time series analysis(TSA)](./Time_series_analysis(TSA))

* [小波分析Wavelet analysis(WA)](./Wavelet_analysis(WA))

* [BP神经网络Backpropagation Neural Network(BPNN)](./Backpropagation_Neural_Network(BPNN))
### Optimization models
* [数据包络分析Data Envelopment Analysis(DEA)](https://github.com/HeXavi8/Mathematical-Modeling/blob/main/Data_Envelopment_Analysis(DEA))

* [模拟退火法Simulated annealing(SA)](./Simulated_annealing(SA))

* [遗传算法Genetic algorithm(GA)](./Genetic_algorithm(GA))
### Classification models
* [逻辑回归Logistic regression(LR)](./Logistic_regression(LR))
### Regression models
* [最小二乘法Least squares(LS)](./Least_squares(LS))
### Graph models
* [戴克斯特拉算法Dijkstra's algorithm(DA)](https://github.com/HeXavi8/Mathematical-Modeling/blob/main/Dijkstra's_algorithm(DA))

### Others
* [马尔科夫链蒙特卡洛方法Markov Chain Monte Carlo(MCMC)](./Markov_Chain_Monte_Carlo(MCMC))

* [方差分析Analysis of variance (ANOVA)](./Analysis_of_variance(ANOVA))