FAµST python toolbox

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FAµST logo pipeline status coverage python3

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:

  • speed up / 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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3.42.2

3.42.2a0 pre-release

3.42.1

3.42.1a3 pre-release

3.42.0

This version

3.42.0a2 pre-release

3.41.0

3.41.0a2 pre-release

3.40.3a2 pre-release

3.40.2

3.40.1

3.40.0

3.40.0a0 pre-release

3.39.25

3.39.25a0 pre-release

3.39.24

3.39.24a0 pre-release

3.39.23

3.39.23a0 pre-release

3.39.22

3.39.22a0 pre-release

3.39.21

3.39.21a0 pre-release

3.39.20

3.39.20a0 pre-release

3.39.19

3.39.19a1 pre-release

3.39.19a0 pre-release

3.39.18

3.39.17

3.39.16

3.39.15

3.39.14

3.39.13

3.39.12

3.39.11

3.39.10

3.39.9

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3.39.6

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3.39.3

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3.39.0

3.38.23

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3.36.0

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3.31.6

3.31.5

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3.30.0

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3.20.0

3.19.0

3.18.1

3.18.0

3.17.0

3.16.0

3.15.0

3.14.1

3.13.0

3.12.0

3.11.1

3.11.0

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