In the conversion, I observe that the speed of
Matrix(GL(2^8, GF(2^8)).random_element()).is_invertible()
is too slow comparing to a rather straightforward strategy
--- checking the rank against the matrix size
A.nrows() == A.ncols() == A.rank().
Travis then suggest to implement is_invertible()
in the class Matrix_gf2e_dense.
I also want to add that, at least over finite fields,
the rref approach feels to be faster, because
there are asymptotically faster algorithm for rref; and
False can be returned as early as a pivot is found missing.
Sage development has entered the release candidate phase for 9.3. Setting a new milestone for this ticket based on a cursory review of ticket status, priority, and last modification date.
Hi, newbie here. This ticket is created per suggestion in the following conversion: https://groups.google.com/g/sage-devel/c/hcYi4jxIN8c/m/XdHVL3DGAAAJ
In the conversion, I observe that the speed of
Matrix(GL(2^8, GF(2^8)).random_element()).is_invertible()
is too slow comparing to a rather straightforward strategy --- checking the rank against the matrix sizeA.nrows() == A.ncols() == A.rank()
.Travis then suggest to implement
is_invertible()
in the classMatrix_gf2e_dense
. I also want to add that, at least over finite fields, the rref approach feels to be faster, becauseFalse
can be returned as early as a pivot is found missing.Component: linear algebra
Issue created by migration from https://trac.sagemath.org/ticket/31274