TuckerTensorTrain.is_right_orthogonal

t3toolbox.tucker_tensor_train.TuckerTensorTrain.is_right_orthogonal(atol=1e-09)

def is_right_orthogonal(self, atol: float = 1e-9) -> NDArray:  # bool array, shape = stack_shape (scalar unstacked)

True (per stack element) if this T3 is in right-orthogonal form: every Tucker core down-orthogonal and every TT core except the first right-orthogonal (the first TT core is the center remainder).

Non-enforcing convenience checker (see is_left_orthogonal()). The result of rank_adjustment_sweep('right_to_left') is right-orthogonal. Use this to verify before asserting t3svd(..., assume_orthogonal=True), which is not checked. Per-stack-element bool array (scalar when unstacked); reduce with .all().

Parameters:

atol (float)

Return type:

NDArray