#1430 closed defect (fixed)
[with spkg] sparse eigenvalues and splines
Reported by: | jkantor | Owned by: | was |
---|---|---|---|
Priority: | major | Milestone: | sage-2.9 |
Component: | packages: standard | Keywords: | |
Cc: | Merged in: | ||
Authors: | Reviewers: | ||
Report Upstream: | Work issues: | ||
Branch: | Commit: | ||
Dependencies: | Stopgaps: |
Description
scipy has a sandbox directory with experimental or code in development.
One of the packages is an arpack wrapper which computes eigenvalues of sparse matrices.
matlab uses this in its eigs command. Although the arpack wrapper is not completely finished, it
has useful functionality, and since this has been requested multiple times I think including it is good, it will also maybe spur some people to take the wrapper the last mile (me probably).
Also included is a wrapper of fitpack which has some spline functions (bivariate spline, etc).
http://sage.math.washington.edu/home/jkantor/spkgs/scipy_sandbox.spkg
The following shows how to compute the smallest five eigenvalues
(in magnitude) of a 2000x2000 matrix
import arpack from scipy import sparse m=sparse.csc_matrix(random_matrix(RDF,2000,2000,density=.02).numpy()) e,v=arpack.eigen(m,5)
Change History (4)
comment:1 Changed 8 years ago by jkantor
comment:2 Changed 8 years ago by mabshoff
- Resolution set to fixed
- Status changed from new to closed
Merged in 2.9.alpha6.
comment:3 Changed 8 years ago by jkantor
new patch, makes the doctest more stable (hopefully)
http://sage.math.washington.edu/home/jkantor/spkgs/arpack_doctest_2.patch
(apply after applying the first one)
comment:4 Changed 8 years ago by mabshoff
I apply arpack_doctest_2.patch to 2.9.rc0.
Cheers,
Michael
patch with doctests
http://sage.math.washington.edu/home/jkantor/spkgs/arpack_doctest.patch