#15104: Special case modn_dense matrix operations to improve performance
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Reporter: nbruin | Owner:
Type: enhancement | Status: needs_work
Priority: major | Milestone: sage-6.2
Component: linear algebra | Resolution:
Keywords: | Merged in:
Authors: Nils Bruin, Simon | Reviewers:
King | Work issues: regression in
Report Upstream: N/A | right_kernel_matrix
Branch: | Commit:
u/SimonKing/ticket/15104 | 0f008f9266e3ed6fbd67e7f3d357474825bdb160
Dependencies: | Stopgaps:
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Comment (by SimonKing):
Replying to [comment:36 nbruin]:
> The problem there is that the person not requiring a fully initialized
matrix space isn't asking for a matrix space at all: he/she is probably
just asking for a matrix and is doing that, quite reasonably, via linear
algebra routines. Those routines *internally* find the need to
find/construct an appropriate matrix space and these routines need to be
able to operate both in time critical code where full initialization of a
never-used object is too expensive and in situations where the result
needs to be a full member of the sage universe. I suspect it'll be too
difficult to get the intent of the caller to the location where that
intent is relevant.
That used to be the rationale in #11900.
However, it seems that with the current version of Sage, the examples used
in #11900 would ''not'' show a new regression when one would now
''always'' fully initialise the matrix spaces!
So, the underlying rationale for this part of #11900 is gone. It would
make sense to consider to drop the dirty trick of incomplete
initialisation.
That said: It seems that some of the examples are now showing a regression
even ''without'' full category initialisation of matrix spaces. That's
what #15792 is about, and it currently is a mystery where the regression
came from---apparently it isn't from matrix spaces.
--
Ticket URL: <http://trac.sagemath.org/ticket/15104#comment:37>
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