URL:
<http://gna.org/task/?7793>
Summary: Speed-up of dispersion models
Project: relax
Submitted by: tlinnet
Submitted on: Sat 10 May 2014 04:49:54 PM UTC
Should Start On: Sat 10 May 2014 12:00:00 AM UTC
Should be Finished on: Sat 10 May 2014 12:00:00 AM UTC
Category: relax's source code
Priority: 5 - Normal
Status: None
Percent Complete: 0%
Assigned to: tlinnet
Open/Closed: Open
Discussion Lock: Any
Effort: 0.00
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Details:
This was discussed in:
http://thread.gmane.org/gmane.science.nmr.relax.devel/5718
It will consist of two things.
Instead of looping over each point and check math domain errors, and then
return each value to backcalc list, the whole numpy array is calculated in one
go.
Thereafter there will be a check for the array.
If any array holds nan/Nan, the whole array is filled with 10**20 and
returned.
But still keep the looping over each point when returning values.
This testing can be done in the trunk.
The next step is to pass back the whole array of values, to the target
function, which then updates the class list in one go.
This should be done in a separate branch, to perform speed testing.
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