operator_dimension()#
- AffineCubicOperator.operator_dimension(s: int, r: int, m: int) int #
Number of columns in the concatenated operator matrix.
For affine operators, this is \(A_{\ell}\cdot d(r,m)\), where \(A_{\ell}\) is the number of terms in the affine expansion and \(d(r,m)\) is the dimension of the function \(\d(\qhat,\u)\).
- Parameters:
- sint
Number of training parameter values.
- rint
State dimension.
- mint or None
Input dimension.
- Returns:
- dint
Number of columns in the concatenated operator matrix.