relax SVN archive

Math-domain catching for model MMQ CR72.

task #7793: (https://gna.org/task/?7793) Speed-up of dispersion models.

This is to implement catching of math domain errors, before they occur.
These can be found via the --numpy-raise function to the systemtests.

To make the code look clean, the class object "back_calc" is no longer
being updated per time point, but is updated in the relax_disp target function in
one go.

Math-domain catching for model M61.

task #7793: (https://gna.org/task/?7793) Speed-up of dispersion models.

This is to implement catching of math domain errors, before they occur.
These can be found via the --numpy-raise function to the systemtests.

To make the code look clean, the class object "back_calc" is no longer
being updated per time point, but is updated in the relax_disp target function in
one go.

Removed class object "back_calc" being updated per time point for model LM63.

task #7793: (https://gna.org/task/?7793) Speed-up of dispersion models.

To make the code look clean, the class object "back_calc" is no longer
being updated per time point, but is updated in the relax_disp target function in
one go.

Math-domain catching for model IT99.

task #7793: (https://gna.org/task/?7793) Speed-up of dispersion models.

This is to implement catching of math domain errors, before they occur.
These can be found via the --numpy-raise function to the systemtests.

To make the code look clean, the class object "back_calc" is no longer
being updated per time point, but is updated in the relax_disp target function in
one go.

Math-domain catching for model MP05.

task #7793: (https://gna.org/task/?7793) Speed-up of dispersion models.

This is to implement catching of math domain errors, before they occur.
These can be found via the --numpy-raise function to the systemtests.

To make the code look clean, the class object "back_calc" is no longer
being updated per time point, but is updated in the relax_disp target function in
one go.

Math-domain catching for model TAP03.

Another check for division with 0 inserted.

Math-domain catching for model DPL94.

task #7793: (https://gna.org/task/?7793) Speed-up of dispersion models.

This is to implement catching of math domain errors, before they occur.
These can be found via the --numpy-raise function to the systemtests.

To make the code look clean, the class object "back_calc" is no longer
being updated per time point, but is updated in the relax_disp target function in
one go.

Math-domain catching for model TAP03.

task #7793: (https://gna.org/task/?7793) Speed-up of dispersion models.

This is to implement catching of math domain errors, before they occur.
These can be found via the --numpy-raise function to the systemtests.

To make the code look clean, the class object "back_calc" is no longer
being updated per time point, but is updated in the relax_disp target function in
one go.

Math-domain catching for model TP02.

task #7793: (https://gna.org/task/?7793) Speed-up of dispersion models.

This is to implement catching of math domain errors, before they occur.
These can be found via the --numpy-raise function to the systemtests.

To make the code look clean, the class object "back_calc" is no longer
being updated per time point, but is updated in the relax_disp target function in
one go.

Math-domain catching for model TSMFK01.

task #7793: (https://gna.org/task/?7793) Speed-up of dispersion models.

This is to implement catching of math domain errors, before they occur.
These can be found via the --numpy-raise function to the systemtests.

To make the code look clean, the class object "back_calc" is no longer
being updated per time point, but is updated in the relax_disp target function in
one go.