FAµST python toolbox
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.
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