Hi Edward.

I will let the Branch stay as it is.

If one has the interest, one can have a look on the change on code.

Best
Troels

2014-09-03 10:31 GMT+02:00 Edward d'Auvergne <[email protected]>:
> Hi,
>
> This is quite a large task that would require a couple of months, but
> it would mean that large scale screening of dispersion parameter
> errors would have been possible.  What is your plan for the
> est_par_error branch
> (http://svn.gna.org/viewcvs/relax/branches/est_par_error/?pathrev=25575)?
>  There are some useful things in there for the next developer to take
> over - the new lib.dispersion.tsmfk01 gradient and Jacobian functions,
> the sympy script for the partial derivatives, the TSMFK01 target
> function class gradient methods, etc.
>
> Regards,
>
> Edward
>
>
>
> On 2 September 2014 20:10, Troels E. Linnet
> <[email protected]> wrote:
>> Update of task #7824 (project relax):
>>
>>                 Priority:                 3 - Low => 1 - Later
>>                   Status:             In Progress => Gone walkabout
>>         Percent Complete:                      0% => 10%
>>
>>     _______________________________________________________
>>
>> Follow-up Comment #50:
>>
>> This is actually a quite hard work to implement, and will require a lot of
>> testing.
>>
>> I therefore leave it, since I dont have time for it.
>>
>> But it seemed that it is very possible indeed.
>>
>> For the most simple model TSMFK01, reasonable results was achieved.
>>
>> But seriously, perform MC calculations in the end.
>>
>> Compared to R2eff errors, where the following analysis depend on the error,
>> the error estimation for the model parameters can wait to the very last end.
>> So it is not crucial.
>>
>>
>>
>>
>>
>>     _______________________________________________________
>>
>> Reply to this item at:
>>
>>   <http://gna.org/task/?7824>
>>
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