bsplyne 1.0.0

A package for N dimensions B-splines.

bsplyne

bsplyne is a Python library for working with N-dimensional B-splines. It implements the Cox-de Boor algorithm for basis evaluation, order elevation, knot insertion, and provides a connectivity class for multi-patch structures. Additionally, it includes visualization tools with export capabilities to Paraview.

Installation

Since bsplyne is not yet on PyPI, you can install it locally as follows:

git clone https://github.com/Dorian210/bsplyne
cd bsplyne
pip install -e .

Dependencies

Make sure you have the following dependencies installed:

• numpy
• numba
• scipy
• matplotlib
• meshio
• tqdm

Main Modules

• BSplineBasis
  Implements B-spline basis function evaluation using the Cox-de Boor recursion formula.

• BSpline
  Provides methods for creating and manipulating N-dimensional B-splines, including order elevation and knot insertion.

• MultiPatchBSplineConnectivity
  Manages the connectivity between multiple N-dimensional B-spline patches.

• CouplesBSplineBorder (less documented)
  Handles coupling between B-spline borders.

Examples

Several example scripts demonstrating the usage of bsplyne can be found in the examples/ directory. These scripts cover:

• Basis evaluation on a curved line
• Plotting with Matplotlib
• Order elevation
• Knot insertion
• Surface examples
• Exporting to Paraview

Documentation

The full API documentation is available in the docs/ directory of the project or via the online documentation portal.

Contributions

At the moment, I am not actively reviewing contributions. However, if you encounter issues or have suggestions, feel free to open an issue.

License

This project is licensed under the CeCILL License.