[Numpy-tickets] [NumPy] #933: Where is LU decomposition?

[NumPy]

#933: Where is LU decomposition?
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 Reporter:  moo           |        Owner:  somebody
     Type:  defect        |       Status:  closed  
 Priority:  high          |    Milestone:          
Component:  numpy.linalg  |      Version:  none    
 Severity:  normal        |   Resolution:  invalid 
 Keywords:                |  
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Changes (by charris):

  * status:  new => closed
  * resolution:  => invalid

Comment:

 It isn't in numpy, it is in scipy.linalg.


 {{{
 In [1]: import scipy.linalg as la

 In [2]: help(la.lu_factor)


 In [3]: print la.lu_factor.__doc__
 Compute pivoted LU decomposition of a matrix.

     The decomposition is::

         A = P L U

     where P is a permutation matrix, L lower triangular with unit
     diagonal elements, and U upper triangular.

     Parameters
     ----------
     a : array, shape (M, M)
         Matrix to decompose
     overwrite_a : boolean
         Whether to overwrite data in A (may increase performance)

     Returns
     -------
     lu : array, shape (N, N)
         Matrix containing U in its upper triangle, and L in its lower
 triangle.
         The unit diagonal elements of L are not stored.
     piv : array, shape (N,)
         Pivot indices representing the permutation matrix P:
         row i of matrix was interchanged with row piv[i].

     See also
     --------
     lu_solve : solve an equation system using the LU factorization of a
 matrix

     Notes
     -----
     This is a wrapper to the *GETRF routines from LAPACK.

 }}}


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Ticket URL: <http://scipy.org/scipy/numpy/ticket/933#comment:1>
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