`scipy.sparse.linalg._interface:LinearOperator.dot`

Signature

def dot(self, x)

Multi-purpose multiplication method.

x : array_like or `LinearOperator` or scalar: Array-like input will be interpreted as a 1-D row vector or 2-D matrix (or batch of matrices) depending on its shape. See the Returns section for details.

Ax : array or `LinearOperator`

For LinearOperator input, operator composition is performed.
For scalar input, a lazily scaled operator is returned.
Otherwise, the input is expected to take the form of a dense 1-D vector or 2-D matrix (or batch of matrices), interpreted as follows (where self is an M by N linear operator):
- If x has shape (N,) it is interpreted as a row vector and matvec is called.
- If x has shape (..., N, K) for some integer K, it is interpreted as a matrix (or batch of matrices if there are batch dimensions) and matmat is called.

To perform matrix-vector multiplication on batches of vectors, use matvec.

For clarity, it is recommended to use the matvec or matmat methods directly instead of this method when interacting with dense vectors and matrices.