comppdes 0.1.0

Core finite element method infrastructure for numerical approximation of PDEs, i.e. computational PDEs.

Numerics Code Snippets Repository: A GitLab Reference Hub

In this repository several different code snippets are available, as well as a beginner tutorial on the usage of python specifically in numerics.

There are also different solutions to exercises from lectures available.

Getting Started

1. Repository Access: Clone or Download

Use the git clone command to download the entire repository to your local machine.

Method	Command
Clone via HTTPS (Recommended)	git clone [see HTTPS link in repos]
Download ZIP	(Download from the GitLab web interface)

Navigate into the cloned directory after the process is complete:

cd [Your_Repository_Name]

---

2. Environment Setup with uv

We use uv (see here), a Python package installer and environment manager.

• A. Install uv:

  Choose the method that works best for your operating system.

  Operating System	Command
  Universal (if pip is available)	pip install uv
  macOS (Homebrew)	brew install uv
  macOS/Linux (Shell Script)	curl -LsSf https://astral.sh/uv/install.sh | sh
  Windows (PowerShell)	powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

• B. Create and Activate Virtual Environment:

  These commands create a virtual environment (.venv) and install all required packages listed in the dependency file (e.g., pyproject.toml).

  # Create the virtual environment
  uv sync
  

  # Activate the virtual environment (macOS/Linux)
  source .venv/bin/activate
  

  Note for Windows Users: If you are using PowerShell, run the following to activate:

  .\.venv\Scripts\Activate.ps1
  

• C. Install Local Source Root Folder (if necessary):

  The repository contains local modules you need to import (e.g., in the src folder). Install the source package in editable mode:

  uv pip install -e src
  

---

💡 Working with VS Code

We recommend using VS Code (see here) for a seamless experience.

1. Open the repository folder in VS Code.
2. Open the Command Palette (Ctrl+Shift+P or Cmd+Shift+P).
3. Type "Python: Select Interpreter" and select the newly created virtual environment, typically found at: ./.venv/bin/python (macOS/Linux) or ./.venv/Scripts/python.exe (Windows).

---

Remark

A significant portion of the code is based on the book:

• Numerical Approximation of Partial Differential Equation by Sören Bartels (ISBN 978-3-319-32353-4)