Ok.  Merge tracking is not enabled which is good.  That way the branch
can just go into a hibernation state, just like the 'cst' and
'inversion-recovery' branches.  Each patch can then be ported to a new
branch in the future (and the old branch deleted).

Cheers,

Edward

On 3 September 2014 11:52, Troels Emtekær Linnet <[email protected]> wrote:
> 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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>>>   http://gna.org/
>>>
>>>
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