| Re: [eigen] Error: trying to recover Q matrix in sparse QR factorization |
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On 07.05.2013 05:03, Avneesh Saluja wrote:
Hello,
I have a question regarding the sparse QR implementation in the latest
development build of Eigen.
I would like to recover the Q matrix after the factorization, but can't
quite do so. I have followed the suggestion in the following link to get
the SparseMatrix representation of Q (where I assume A is the original
matrix that we are taking the factorization of):
http://eigen.tuxfamily.org/dox-devel/classEigen_1_1SparseQR.html#ac27067ab301641fe6cc35c216a9b18a2
That looks mostly like a documentation issue. In general, it does not
make sense to store Q as a sparse matrix, since usually it is not
anything near sparse. You can directly use qr_factorizer.matrixQ()
inside expressions. If you really need the actual Q, I guess the
simplest way would be to multiply by an identity matrix.
Christoph
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Dipl.-Inf., Dipl.-Math. Christoph Hertzberg
Cartesium 0.049
Universität Bremen
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