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Discussed with @bosschmidt at the CIL user meeting hackathon.
For the weighted L2 norm in CIL, the weight value can be a scalar or can be a CIL data container :
CIL/Wrappers/Python/cil/optimisation/functions/L2NormSquared.py
Line 125 in 5d569dc
weight
DataContainer
It might be useful to extend this so that W is a linear operator whose range and domain are the same and contain the input x .
This would allow the weighted L2norm to be weighted by non-diagonal matrices.
The text was updated successfully, but these errors were encountered:
MargaretDuff
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Description
Discussed with @bosschmidt at the CIL user meeting hackathon.
For the weighted L2 norm in CIL, the weight value can be a scalar or can be a CIL data container :
CIL/Wrappers/Python/cil/optimisation/functions/L2NormSquared.py
Line 125 in 5d569dc
Mathematically,
weight
is aDataContainer
orweight
is a scalar.It might be useful to extend this so that is a linear operator whose range and domain are the same and contain the input .
This would allow the weighted L2norm to be weighted by non-diagonal matrices.
The text was updated successfully, but these errors were encountered: