Numerical Analysis

• English Description
• 中文说明

English Description

This project contains Python code for the "Engineering Numerical Analysis" course at USTC, mainly for completing homework assignments. The code outputs detailed calculation processes to help understand numerical analysis algorithms.

This repository also includes study notes for matpoltlib, in the file matpoltlib.ipynb, which is suitable for beginners to quickly get started with data visualization.

Contents

• Python implementations for homework assignments
• Visualization and output of calculation processes
• Easy to learn and reproduce numerical analysis methods

Usage

1. Clone or download this repository.
2. Open Numerical-Analysis.ipynb with Jupyter Notebook and run each cell as instructed.
3. Modify or extend the code as needed to complete your own assignments.

Contents

• Python implementations for homework assignments
• Visualization and output of calculation processes
• Easy to learn and reproduce numerical analysis methods

Usage

1. Clone or download this repository.
2. Open Numerical-Analysis.ipynb with Jupyter Notebook and run each cell as instructed.
3. Modify or extend the code as needed to complete your own assignments.

Requirements

• Python 3.x
• Jupyter Notebook is recommended for interactive execution

To install required packages, run:

pip install numpy matplotlib

中文说明

中国科学技术大学工程计算方法课程 Python 代码

本项目包含中国科学技术大学《工程计算方法》课程的 Python 代码，主要用于完成课后作业，并能输出详细的计算过程，帮助理解数值分析相关算法。

本仓库还包含关于 matpoltlib 的学习笔记，文件名为 matpoltlib.ipynb，适合初学者快速入门数据可视化。

项目内容

• 课后作业相关的 Python 实现
• 计算过程可视化与输出
• 便于学习和复现数值分析方法

使用方法

1. 克隆或下载本仓库。
2. 使用 Jupyter Notebook 打开 chatper1.ipynb，按照注释运行各单元格。
3. 可根据需要修改或扩展代码，完成自己的作业。

依赖环境

• Python 3.x
• 推荐使用 Jupyter Notebook 进行交互式运行

如需安装依赖包，可在命令行运行：

pip install numpy matplotlib

许可证

本项目遵循 MIT License。