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| Main Author: | |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.10451 |
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| _version_ | 1866910874096107520 |
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| author | Roelfs, Martin |
| author_facet | Roelfs, Martin |
| contents | Kingdon is an open-source Python package designed to seamlessly integrate Geometric Algebra (GA) into existing workflows. Unlike previous GA libraries, kingdon is input-type-agnostic, and hence supports GA's over e.g. PyTorch tensors, NumPy arrays, or SymPy symbolic expressions, to name but a few. Despite this refusal to specialize, it delivers high performance by symbolically optimizing operators and leveraging input sparsity for Just-In-Time compiled expressions. Additionally, its visualization capabilities in Jupyter notebooks using ganja align with the rapid prototyping workflow common to scientific research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_10451 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Willing Kingdon Clifford Algebra Library Roelfs, Martin Mathematical Software Kingdon is an open-source Python package designed to seamlessly integrate Geometric Algebra (GA) into existing workflows. Unlike previous GA libraries, kingdon is input-type-agnostic, and hence supports GA's over e.g. PyTorch tensors, NumPy arrays, or SymPy symbolic expressions, to name but a few. Despite this refusal to specialize, it delivers high performance by symbolically optimizing operators and leveraging input sparsity for Just-In-Time compiled expressions. Additionally, its visualization capabilities in Jupyter notebooks using ganja align with the rapid prototyping workflow common to scientific research. |
| title | The Willing Kingdon Clifford Algebra Library |
| topic | Mathematical Software |
| url | https://arxiv.org/abs/2503.10451 |