scipy.sparse.linalg.

aslinearoperator#

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

Return A as a LinearOperator.

See the LinearOperator documentation for additional information.

Parameters:

Aobject

Object to convert to a LinearOperator. May be any one of the following types:

numpy.ndarray
numpy.matrix
scipy.sparse array (e.g. csr_array, lil_array, etc.)
LinearOperator
An object with .shape and .matvec attributes

Returns:

BLinearOperator: A LinearOperator corresponding with A

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.

Array API Standard Support

aslinearoperator has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable SCIPY_ARRAY_API=1 and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.

Library	CPU	GPU
NumPy	✅	n/a
CuPy	n/a	✅
PyTorch	✅	✅
JAX	✅	✅
Dask	✅	n/a

See Support for the array API standard for more information.

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>