[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.

-- 
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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