Tools for working with symmetric matrices in non-redundant format
Project description
triarray
Python package for working with symmetric matrices in non-redundant format.
See full documentation here.
Overview
The triarray
package contains tools for working with large symmetric matrices while only storing the elements in the upper or lower triangle, thus halving memory requirements.
triarray
uses Numba's just-in-time compilation to generate high-performance C code that works with any data type and is easily extendable (including within a Jupyter notebook).
Installation
The easiest way is to use pip:
pip install triarray
or you can clone the repository and run the setup script:
cd path/to/triarray
pip install .
License
This project is licensed under the MIT License - see the LICENSE file for details.
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