apply_derivatives_kind#

t3toolbox.backend.fitting.apply_derivatives_kind(order, weight=None)#
def apply_derivatives_kind(
        order:  int,                                # highest derivative order
        weight: typ.Optional[typ.Any] = None,       # ORDER-only residual weight ω, (order+1,); None = 1
) -> SamplingKind:                                  # sample = (ww, pp); data = (order+1)+W

The apply-derivatives sampling kind (operator only): symmetric directional derivatives of the all-modes apply, orders 0..order, in direction P. sample = (ww, pp). All-modes apply has no mode axis, so weight is order-only (a per-mode weight raises – mode weighting is probe-only).

Parameters:

  • order (int)

  • weight (t3toolbox.backend.common.typ.Optional[t3toolbox.backend.common.typ.Any])

Return type:

SamplingKind