[SciPy-dev] The future of the scipy.sandbox and a reminder of upcoming doc-day

[Robert Cimrman]

Matthieu Brucher wrote:
>> AFAIK the current proposal is as follows
>>
>> scipy.sparse
>>     Will contain the sparse matrix classes and perhaps construction
>> functions (e.g. spdiags)
>>
>> scipy.splinalg
>>     New home for sparse linear algebra (i.e. anything that has a dense
>> analog in scipy.linalg)
>>     Possible home for sparse construction functions (e.g. spkron)
>>
>> splinalg.eigen
>>     Sparse eigensolvers:
>>         sandbox.lobpcg -> splinalg.eigen.lobpcg
>>         sandbox.arpack -> splinalg.eigen.arpack
>>
>>         a function splinalg.eigen.eigs() should support a simplified
>> interface to ARPACK,
>>         without exposing many ARPACK-specific parameters (allowing the
>> backend to be
>>         changed in the future)
>>
>> splinalg.isolve
>>     Iterative solvers for linear systems (e.g. cg, gmres):
>>         linalg.iterative -> splinalg.isolve
>>
>> splinalg.dsolve
>>     Direct solvers for linear systems (e.g. SuperLU):
>>         scipy.linsolve -> splinalg.dsolve
>>         scipy.linsolve.umfpack -> scikit
>>
> 
> Is there any concern about this ? If not, it may be time to make it happen ?

+1

Besides the sparse stuff, I would also like to have support for the 
symmetric eigenvalue functions of lapack that are currently in the 
symeig package, but are not in scipy.linalg. lobpcg needs them to work 
correctly.

r.