#13703: special matrices
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       Reporter:  jason           |         Owner:  jason, was
           Type:  enhancement     |        Status:  new       
       Priority:  minor           |     Milestone:  sage-5.5  
      Component:  linear algebra  |    Resolution:            
       Keywords:                  |   Work issues:            
Report Upstream:  N/A             |     Reviewers:            
        Authors:                  |     Merged in:            
   Dependencies:                  |      Stopgaps:            
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Description changed by jason:

Old description:

> It would be great to have a matrices namespace to put special matrix
> commands, sort of like the graphs.* namespace or groups.* namespace.
> Here are some starter definitions:
>
> {{{
> def hilbert(R,n): return matrix(R, n, lambda i,j: 1/(i+j+1))
> def vandermonde(R, v): return matrix(R, len(v), lambda i,j: v[i]^j)
> def toeplitz(R,c,r): return matrix(R, len(c), len(r), lambda i,j: c[i-j]
> if i>=j else r[j-i])
> def hankel(R,c,r): entries=c+r[1:]; return matrix(R, len(c), len(r),
> lambda i,j: entries[i+j])
> def circulant(R,E): return hankel(R, E, E[-1:]+E[:-1])
> }}}
>
> Additionally, we could use scipy to create more matrices (or do it
> ourselves): http://docs.scipy.org/doc/scipy/reference/linalg.html
> #special-matrices

New description:

 It would be great to have a matrices namespace to put special matrix
 commands, sort of like the graphs.* namespace or groups.* namespace.  Here
 are some starter definitions:

 {{{
 def hilbert(R,n): return matrix(R, n, lambda i,j: 1/(i+j+1))
 def vandermonde(R, v): return matrix(R, len(v), lambda i,j: v[i]^j)
 def toeplitz(R,c,r): return matrix(R, len(c), len(r), lambda i,j: c[i-j]
 if i>=j else r[j-i])
 def hankel(R,c,r): entries=c+r[1:]; return matrix(R, len(c), len(r),
 lambda i,j: entries[i+j])
 def circulant(R,E): return hankel(R, E, E[-1:]+E[:-1])
 def jacobsthal(p,n):
     """See http://en.wikipedia.org/wiki/Paley_construction for a way to
 use jacobsthal matrices to construct hadamard matrices"""
     elts = GF(p^n).list()
     return matrix(len(elts), lambda i,j:
 legendre_symbol(elts[i]-elts[j],p))
 }}}

 Additionally, we could use scipy to create more matrices (or do it
 ourselves): http://docs.scipy.org/doc/scipy/reference/linalg.html#special-
 matrices

--

-- 
Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/13703#comment:4>
Sage <http://www.sagemath.org>
Sage: Creating a Viable Open Source Alternative to Magma, Maple, Mathematica, 
and MATLAB

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