sTiles
High-performance tile-based framework for sparse Cholesky factorization, triangular solves, and selected inversion of symmetric positive-definite matrices, spanning the full spectrum from very sparse to fully dense.
This package is the Python interface to the libstiles engine. It is pure
ctypes (no compiler required): the correct native library for your platform is
downloaded automatically from the project's GitHub Release the first time you use it.
Install
pip install sTiles
Example
import scipy.sparse as sp
from sTiles import sTiles
s = sTiles(Q, cores=4, inverse=True) # analyze + Cholesky factorize
s.logdet # log|Q|
s.solve(b) # solve Q x = b
s.selinv_diag() # diag(Q^-1), the marginal variances
s.selinv_elm(i, j) # any inverse element within the factor pattern
Links
- Documentation: https://esmail-abdulfattah.github.io/sTiles/
- Source: https://github.com/esmail-abdulfattah/sTiles
Developed at KAUST. Free for research and academic use.
1 maintainer
Metadata
1 maintainer
Release files for sTiles 2026.9.4
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| File | Size | Uploaded | Provenance | |
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| stiles-2026.9.4.tar.gz | 18.0 kB | Without provenance | Details |
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|---|---|---|---|---|
| stiles-2026.9.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.9 kB
Release files / stiles-2026.9.4.tar.gz
| Download URL | stiles-2026.9.4.tar.gz |
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Release files / stiles-2026.9.4-py3-none-any.whl
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| Size | 17.9 kB |
| Tags | Python 3 |
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