SciPy-based LOBPCG solver for sparse symmetric problems.
Kind: ‘eig.scipy_lobpcg’
For common configuration parameters, see Solver.
Specific configuration parameters:
Parameters: | i_max : int (default: 20)
eps_a : float
largest : bool (default: True)
precond : {dense matrix, sparse matrix, LinearOperator}
|
---|
Pysparse-based eigenvalue solver for sparse symmetric problems.
Kind: ‘eig.pysparse’
For common configuration parameters, see Solver.
Specific configuration parameters:
Parameters: | i_max : int (default: 100)
eps_a : float (default: 1e-05)
tau : float (default: 0.0)
method : {‘cgs’, ‘qmrs’} (default: ‘qmrs’)
verbosity : int (default: 0)
strategy : {0, 1} (default: 1)
|
---|
SciPy-based solver for both dense and sparse problems (if n_eigs is given).
Kind: ‘eig.scipy’
For common configuration parameters, see Solver.
Specific configuration parameters:
Parameters: | method : {‘eig’, ‘eigh’} (default: ‘eig’)
* : *
|
---|
SciPy-based solver for dense symmetric problems.
Kind: ‘eig.sgscipy’
For common configuration parameters, see Solver.
Specific configuration parameters: