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computeR should take an inversion instance as the (only) argument and account for data weighting, regularization, etc. We also need a minimal example on how to compute model resolution matrices using pygimli.
The text was updated successfully, but these errors were encountered:
The inversion will be rewritten in pure Python. Anyway it is not a big issue.
We should also provide resolution matrix (and model covariance) computation as a manager function so that is available for the dummy end user. It just needs to check whether everything is already there in the fop and inv classes.
computeR
should take an inversion instance as the (only) argument and account for data weighting, regularization, etc. We also need a minimal example on how to compute model resolution matrices using pygimli.The text was updated successfully, but these errors were encountered: