npy_weighted_norm¶
- odl.space.npy_tensors.npy_weighted_norm(weights, exponent=2.0)[source]¶
Weighted norm on
TensorSpace's as free function.- Parameters:
- weightsscalar or
array-like Weights of the norm. A scalar is interpreted as a constant weight, a 1-dim. array as a weighting vector.
- exponentpositive
float Exponent of the norm.
- weightsscalar or
- Returns:
- norm
callable Norm function with given weight. Constant weightings are applicable to spaces of any size, for arrays the sizes of the weighting and the space must match.
- norm