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Refactor inverses.py into least_squares.py to make it more general #700

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db091756 opened this issue Jul 15, 2024 · 0 comments · Fixed by #702
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Refactor inverses.py into least_squares.py to make it more general #700

db091756 opened this issue Jul 15, 2024 · 0 comments · Fixed by #702
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enhancement New feature or request new Something yet to be discussed by development team

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What's the new feature?

Currently inverses.py has functionality to approximate inverses of matrices, it would probably make more sense to expand this functionality to more generally solve least square problems of the form $AX =B$ or $Ax = b$ as the currently implemented methods are just subsets of this where we have set $B = I$.

What value does this add?

Expand functionality and should be faster.

Is there an alternative you've considered?

No response

Additional context

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@db091756 db091756 added enhancement New feature or request new Something yet to be discussed by development team labels Jul 15, 2024
@db091756 db091756 changed the title Expand inverses.py to make it more general Edit inverses.py to make it more general Jul 15, 2024
@db091756 db091756 self-assigned this Jul 15, 2024
@db091756 db091756 linked a pull request Jul 16, 2024 that will close this issue
Refactor inverses.py #702
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@db091756 db091756 changed the title Edit inverses.py to make it more general Refactor inverses.py into least_squares.py to make it more general Jul 16, 2024
@db091756 db091756 mentioned this issue Jul 17, 2024
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Refactor inverses.py gchq/coreax
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