uniform_apply_derivatives_kind#
- t3toolbox.backend.uniform_fitting.uniform_apply_derivatives_kind(x0_data, order, weight=None)#
def uniform_apply_derivatives_kind( x0_data: typ.Tuple, # UniformTuckerTensorTrain.data at the fixed rank order: int, # highest derivative order weight: typ.Optional[typ.Sequence[float]] = None, # per-order residual weight omega, (order+1,); None=1 ) -> bfit.SamplingKind: # sample = (ww, pp)
The uniform apply-derivatives
SamplingKind– the twin oft3toolbox.backend.fitting.apply_derivatives_kind().- Parameters:
x0_data (t3toolbox.backend.common.typ.Tuple)
order (int)
weight (t3toolbox.backend.common.typ.Optional[t3toolbox.backend.common.typ.Sequence[float]])
- Return type: