unvec¶
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forest.benchmarking.operator_tools.superoperator_transformations.
unvec
(vector: numpy.ndarray, shape: Tuple[int, int] = None) → numpy.ndarray¶ Take a column vector and turn it into a matrix.
By default, the unvec’ed matrix is assumed to be square. Specifying shape = [N, M] will produce a N by M matrix where N is the number of rows and M is the number of columns.
Consider:
|A>> := vec(A) = (a, c, b, d)^T
unvec(|A>>) should return:
A = [[a, b] [c, d]]
Parameters: - vector – A (N*M) by 1 numpy array.
- shape – The shape of the output matrix; by default, the matrix is assumed to be square.
Returns: Returns a N by M matrix.