[SciPy-User] Large banded matrix least squares solution

J. David Lee johnl@cs.wisc....
Wed Mar 16 14:53:00 CDT 2011


I'm trying to find a least squares solution to a system Ax=b, where A is 
a lower diagonal, banded matrix. The entries of A on a given diagonal 
are all identical, with about 300 unique values, and A can be quite 
large, on the order of 1e6 rows and columns.

scipy.sparse.linalg.lsqr works on smaller examples, up to a few thousand 
rows and columns, but not much larger. It is also very time consuming to 
construct A, though I'm sure there must be a fast way to do that.

Given the amount of symmetry in the problem, I suspect there is a fast 
way to calculate the result, or perhaps another way to solve the problem 

Thank you for your help,

David Lee

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