P is returned as PA = UL or A = P'UL which follows Matlab and Octave opposed to Scipy which returns P as
A = PUL or P'A = UL. For matrix inverse, we need P such that PA = UL and it is faster not having to invert
P, even if we can invert it fairly fast as it is just a shuffled identity matrix.
P is returned as a permutation matrix unless pIndices is true, in which case P would be returned as
a vector containing the indexes such that A[P,:] = L*U.
Calculate the LU decomposition of an NxN matrix.
P is returned as PA = UL or A = P'UL which follows Matlab and Octave opposed to Scipy which returns P as A = PUL or P'A = UL. For matrix inverse, we need P such that PA = UL and it is faster not having to invert P, even if we can invert it fairly fast as it is just a shuffled identity matrix.
P is returned as a permutation matrix unless pIndices is true, in which case P would be returned as a vector containing the indexes such that A[P,:] = L*U.
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