scipy.sparse.linalg.aslinearoperator#

scipy.sparse.linalg.aslinearoperator(A)[source]#

Return A as a LinearOperator.

‘A’ may be any of the following types:

  • ndarray

  • matrix

  • sparse matrix (e.g. csr_matrix, lil_matrix, etc.)

  • LinearOperator

  • An object with .shape and .matvec attributes

See the LinearOperator documentation for additional information.

Notes

If ‘A’ has no .dtype attribute, the data type is determined by calling LinearOperator.matvec - set the .dtype attribute to prevent this call upon the linear operator creation.

Examples

>>> import numpy as np
>>> from scipy.sparse.linalg import aslinearoperator
>>> M = np.array([[1,2,3],[4,5,6]], dtype=np.int32)
>>> aslinearoperator(M)
<2x3 MatrixLinearOperator with dtype=int32>