Add a linalg.lu function for the LU decomposition
#630
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Only the default (partial pivoting) algorithm that is implemented in all libraries and for all devices is added here. data-apisgh-627 has details on the no-pivoting case, but it's not universally supported and the only reason to add it would be that it's more performant in some cases where users know it will be numerically stable. Such an addition can be done in the future, but it seems like a potentially large amount of work for implementers for limited gain. Closes data-apisgh-627
rgommers
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@rgommers Is this PR still something you are interested in pursuing? |
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Ah, there is a ton of discussion that happened in gh-627 after I opened this PR. I don't think this aligns with that discussion, and anyway there are things there that are hard to decide / agree on. So let me close this. Still of interest, just needs new energy. |
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Only the default (partial pivoting) algorithm that is implemented in all libraries and for all devices is added here. gh-627 has details on the no-pivoting case, but it's not universally supported and the only reason to add it would be that it's more performant in some cases where users know it will be numerically stable. Such an addition can be done in the future, but it seems like a potentially large amount of work for implementers for limited gain.
Closes gh-627
EDIT: I'd like to look a bit more closely at how potentially to support this in NumPy, so converted the PR to draft for now.