[Numpy-tickets] [NumPy] #933: Where is LU decomposition?
NumPy
numpy-tickets@scipy....
Tue Oct 14 22:27:19 CDT 2008
#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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