#5402: Sparse determinants are slow
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       Reporter:  jbandlow             |         Owner:  was         
           Type:  enhancement          |        Status:  needs_review
       Priority:  major                |     Milestone:  sage-5.6    
      Component:  linear algebra       |    Resolution:              
       Keywords:  determinant          |   Work issues:              
Report Upstream:  N/A                  |     Reviewers:              
        Authors:  Charles Bouillaguet  |     Merged in:              
   Dependencies:                       |      Stopgaps:              
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Comment (by Bouillaguet):

 There is an example of caching (the one I just mimicked...) in
 matrix_sparse.pyx in the definition of charpoly().

 I checked that caching works by computing a large sparse determinant twice
 : the first call takes a few seconds, while the second call returns
 instantly.

 For the sake of easy reviewing :-) here is the code of charpoly() :

 {{{
 #!python
 def charpoly(self, var='x', **kwds):
         f = self.fetch('charpoly')
         if f is not None:
             return f.change_variable_name(var)
         f = self.dense_matrix().charpoly(var=var, **kwds)
         self.cache('charpoly', f)
         return f
 }}}

-- 
Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/5402#comment:11>
Sage <http://www.sagemath.org>
Sage: Creating a Viable Open Source Alternative to Magma, Maple, Mathematica, 
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