relax SVN archive

Changed unit-tests, to send in the original dw_orig to the testing of the lib function B14.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Made the lib function of B14 accept dw of the original array.

This is for speed-up.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Changed target function for model B14.

To B14 now also send the input of the original parameters dw.
dw is tested for zero, to return flat lines.
It is faster to search in the smaller numpy array, than the 5 dimensional dw array.

This is for speed-up.

These small tricks are expected to give 5-10 pct. speeed-up.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Changed profiling script to send R20A, R20B and dw, as original parameters to the lib function.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Changed unit-tests, to send in the original R20A, R20B and dw_orig to the testing of the lib function CR72.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Made the lib function of CR72 accept the R20A, R20B and dw of the original array.

This is for speed-up.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Changed target function for model CR72.

To CR72 is now also the input of the parameters of R20A, R20B and dw.
dw is tested for zero, to return flat lines.
It is faster to search in the smaller numpy array, than the 5 dimensional dw array.

This is for speed-up.

R20A and R20B is also subtracted, to see if the full model should be used.
In the same way, it is faster to subtract the smaller array.

These small tricks are expected to give 5-10 pct. speeed-up.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Converted the double rotor frame order model target function to use the new parameterisation.

Comment fixes for the eigenframe reconstruction in the frame order target functions.

Fix for the previous commit - the parameter name was not correct.