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

Signature

def rdot(self, x)

Multi-purpose multiplication method from the right.

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.

xA : 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 (M,) it is interpreted as a row vector.
- If x has shape (..., K, M) for some integer K, it is interpreted as a matrix (or batch of matrices if there are batch dimensions).