Metadata-Version: 2.1
Name: pyfaust-openblaso
Version: 3.39.9
Summary: FAµST python toolbox
Home-page: https://faust.inria.fr
Author: INRIA
Author-email: remi.gribonval@inria.fr
License: 3-clause BSD 2.0
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Environment :: GPU :: NVIDIA CUDA :: 12
Classifier: Environment :: GPU :: NVIDIA CUDA :: 11
Description-Content-Type: text/markdown
Requires-Dist: scipy
Requires-Dist: numpy (>=1.23)
Requires-Dist: matplotlib (>=2.0.0)

![FAµST logo](https://faust.inria.fr/files/2016/11/cropped-FAUST.jpeg)
    ![pipeline status](https://gitlab.inria.fr/faustgrp/faust/badges/main/pipeline.svg?ignore_skipped=true)
    ![coverage](https://gitlab.inria.fr/faustgrp/faust/badges/hakim_branch/coverage.svg?job=pyfaust_test_code_coverage&key_text=coverage)

    The FAµST toolbox provides algorithms and data structures to decompose a given dense matrix into a product of sparse matrices in order to reduce its computational complexity (both for storage and manipulation).  FaµST can be used to:

    - speedup / reduce the memory footprint of iterative algorithms commonly used for solving high dimensional linear inverse problems,

    - learn dictionaries with an intrinsically efficient implementation,

    - compute (approximate) fast Fourier transforms on graphs.

    
