FAµST python toolbox

## Project description

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.

## Project details

Uploaded cp39