[mlpack-svn] [MLPACK] #160: Sparse matrix factorizations (QR, LU, SVD, etc.)
MLPACK Trac
trac at coffeetalk-1.cc.gatech.edu
Tue Nov 15 02:36:36 EST 2011
#160: Sparse matrix factorizations (QR, LU, SVD, etc.)
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Reporter: rcurtin | Owner:
Type: enhancement | Status: new
Priority: major | Milestone: MLPACK 1.0
Component: MLPACK | Keywords: sparse matrix factorizations qr lu svd
Blocking: 110 | Blocked By:
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We should be able to factorize matrices the same way Armadillo already
does it for dense matrices. However, we should depend on external
solvers. According to James, GMM++ solvers for the QR, LU, or SVD
factorization do not exist in GMM++, so we have to look elsewhere. I
suppose, then, that the first part of this task is to find external
solvers that we can use for the task.
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Ticket URL: <http://trac.research.cc.gatech.edu/fastlab/ticket/160>
MLPACK <www.fast-lab.org>
MLPACK is an intuitive, fast, and scalable C++ machine learning library developed by the FASTLAB at Georgia Tech under Dr. Alex Gray.
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