Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/scipy/sparse/linalg/_eigen/arpack/__init__.py: 100%
1 statements
« prev ^ index » next coverage.py v7.3.2, created at 2023-12-12 06:31 +0000
« prev ^ index » next coverage.py v7.3.2, created at 2023-12-12 06:31 +0000
1"""
2Eigenvalue solver using iterative methods.
4Find k eigenvectors and eigenvalues of a matrix A using the
5Arnoldi/Lanczos iterative methods from ARPACK [1]_,[2]_.
7These methods are most useful for large sparse matrices.
9 - eigs(A,k)
10 - eigsh(A,k)
12References
13----------
14.. [1] ARPACK Software, http://www.caam.rice.edu/software/ARPACK/
15.. [2] R. B. Lehoucq, D. C. Sorensen, and C. Yang, ARPACK USERS GUIDE:
16 Solution of Large Scale Eigenvalue Problems by Implicitly Restarted
17 Arnoldi Methods. SIAM, Philadelphia, PA, 1998.
19"""
20from .arpack import *