From the recent changes, it all looks good.

Cheers,

Edward


On 20 August 2014 21:49, Troels Emtekær Linnet <tlin...@nmr-relax.com> wrote:
> This should now be fixed.
>
> 2014-08-20 12:21 GMT+02:00 Edward d'Auvergne <edw...@nmr-relax.com>:
>> Here is another way of thinking of this optimisation problem.  When
>> dw_AB = dw_BC and kex_AB = kex_BC, then you only have two states and
>> the population parameter optimised will be (pB + pC).  I.e. pB and pC
>> will be convoluted.  There are infinite values for pB and infinite
>> values for pC, just as long as the value of pB + pC remains the same.
>> This introduces lines of infinite solutions in the optimisation space.
>> So I don't think a grid search over pB in this situation will do
>> anything interesting in this situation.  The dw and kex parameters
>> have to diverge first before pB and pC are decoupled, and the simplex
>> optimisation will allow that to happen.
>>
>> Regards,
>>
>> Edward
>>
>>
>> On 20 August 2014 09:34, Edward d'Auvergne <edw...@nmr-relax.com> wrote:
>>> I'm not sure what the best behaviour would be as we don't have much to
>>> test against.  As all the parameters will be the same for AB and BC, I
>>> don't think pB will change in a grid search.  Or it will change but
>>> that pB and pC are convoluted together, as they represent the same
>>> state as they have the same parameter values and you have an infinite
>>> set of pB, pC solutions.  So maybe it is best to calculate it as you
>>> said and hence set pC to zero to allow the two states to differentiate
>>> during optimisation.  But I could be wrong.  As long as there is a
>>> sentence in the auto-analysis part of the dispersion chapter of the
>>> manual explaining the behaviour, either might be ok.
>>>
>>> Cheers,
>>>
>>> Edward
>>>
>>>
>>>
>>> On 20 August 2014 09:27, Troels Emtekær Linnet <tlin...@nmr-relax.com> 
>>> wrote:
>>>> I can also let it be.
>>>>
>>>> One parameter left for Grid Search should be okay. :-)
>>>>
>>>> Best
>>>> Troels
>>>>
>>>> 2014-08-19 18:44 GMT+02:00 Troels Emtekær Linnet <tlin...@nmr-relax.com>:
>>>>> I can set it 1 - pA?
>>>>>
>>>>> Best
>>>>> Troels
>>>>>
>>>>> 2014-08-19 18:13 GMT+02:00 Edward d'Auvergne <edw...@nmr-relax.com>:
>>>>>> That would be the correct behaviour without optimisation.  Hmmm, what
>>>>>> was pB set to in this case originally?  Maybe we need to set pB to 0
>>>>>> to start with, and then let it optimise away from this.  What do you
>>>>>> think?
>>>>>>
>>>>>> Regards,
>>>>>>
>>>>>> Edward
>>>>>>
>>>>>>
>>>>>>
>>>>>> On 19 August 2014 18:06, Troels Emtekær Linnet <tlin...@nmr-relax.com> 
>>>>>> wrote:
>>>>>>> Hi Edward.
>>>>>>>
>>>>>>> 'r2', 'pA', 'dw', 'kex'
>>>>>>>
>>>>>>> I then read this as:
>>>>>>>
>>>>>>>         self.assertEqual(par_dic['r2'], 'r2')
>>>>>>>         self.assertEqual(par_dic['pA'], 'pA')
>>>>>>>         self.assertEqual(par_dic['dw_AB'], 'dw')
>>>>>>>         self.assertEqual(par_dic['kex_AB'], 'kex')
>>>>>>>         self.assertEqual(par_dic['pB'], None)
>>>>>>>         self.assertEqual(par_dic['dw_BC'], 'dw')
>>>>>>>         self.assertEqual(par_dic['kex_BC'], 'kex')
>>>>>>>         self.assertEqual(par_dic['kex_AC'], 'kex')
>>>>>>>
>>>>>>> Best
>>>>>>> Troels
>>>>>>>
>>>>>>> 2014-08-19 17:42 GMT+02:00 Edward d'Auvergne <edw...@nmr-relax.com>:
>>>>>>>> Hi,
>>>>>>>>
>>>>>>>> I saw that the code has evolved to do this.  The original idea and
>>>>>>>> implementation was to set states B and C to the same values of the
>>>>>>>> 2-state model parameters and then let them drift apart.  This was
>>>>>>>> mentioned in the manual.  This is not great, but the alternative of
>>>>>>>> performing a grid search on 'dw_AB', 'kex_AB', 'pB', 'dw_BC',
>>>>>>>> 'kex_BC', 'kex_AC' is worse - this grid search is just impossibly long
>>>>>>>> if you choose a reasonable number of grid increments.  Being a
>>>>>>>> multi-minima problem also invalidates this.  The grid search and local
>>>>>>>> optimisation is only for single minimum problems.  When multiple
>>>>>>>> minima are present, then global algorithms are required (the main ones
>>>>>>>> are simulated annealing and genetic algorithms, neither of which are
>>>>>>>> present in minfx yet and hence relax).  Therefore setting B and C to
>>>>>>>> the same thing is not too unreasonable considering the alternative
>>>>>>>> issues.
>>>>>>>>
>>>>>>>> The same thing was done for the '* full' models.  The value of R20 was
>>>>>>>> copied to R20A and R20B and then the two allowed to drift apart.  This
>>>>>>>> is also an incredibly difficult optimisation problem with possible
>>>>>>>> multiple minima.
>>>>>>>>
>>>>>>>> There is no perfect solution for the R20A != R20B or 3-site models yet.
>>>>>>>>
>>>>>>>> Regards,
>>>>>>>>
>>>>>>>> Edward
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> On 19 August 2014 17:21, Troels Emtekær Linnet <tlin...@nmr-relax.com> 
>>>>>>>> wrote:
>>>>>>>>> Hi Edward.
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> Just to confirm.
>>>>>>>>>
>>>>>>>>> If the model is: MODEL_PARAMS_NS_R1RHO_3SITE
>>>>>>>>> And the nested model is: MODEL_PARAMS_NS_R1RHO_2SITE
>>>>>>>>>
>>>>>>>>> The possible parameters for conversion are:
>>>>>>>>>         self.assertEqual(par_dic['r2'], 'r2')
>>>>>>>>>         self.assertEqual(par_dic['pA'], 'pA')
>>>>>>>>>         self.assertEqual(par_dic['dw_AB'], None)
>>>>>>>>>         self.assertEqual(par_dic['kex_AB'], None)
>>>>>>>>>         self.assertEqual(par_dic['pB'], None)
>>>>>>>>>         self.assertEqual(par_dic['dw_BC'], None)
>>>>>>>>>         self.assertEqual(par_dic['kex_BC'], None)
>>>>>>>>>         self.assertEqual(par_dic['kex_AC'], None)
>>>>>>>>>
>>>>>>>>> This means, that MODEL_PARAMS_NS_R1RHO_3SITE would start to Grid 
>>>>>>>>> Search:
>>>>>>>>> 'dw_AB', 'kex_AB', 'pB', 'dw_BC', 'kex_BC', 'kex_AC'
>>>>>>>>>
>>>>>>>>> Do we agree on this?
>>>>>>>>>
>>>>>>>>> Best
>>>>>>>>> Troels
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> ---------- Forwarded message ----------
>>>>>>>>> From:  <edw...@nmr-relax.com>
>>>>>>>>> Date: 2014-08-19 16:07 GMT+02:00
>>>>>>>>> Subject: r25077 - /trunk/docs/latex/dispersion.tex
>>>>>>>>> To: relax-comm...@gna.org
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> Author: bugman
>>>>>>>>> Date: Tue Aug 19 16:07:37 2014
>>>>>>>>> New Revision: 25077
>>>>>>>>>
>>>>>>>>> URL: http://svn.gna.org/viewcvs/relax?rev=25077&view=rev
>>>>>>>>> Log:
>>>>>>>>> Added a table for dispersion model nesting in the auto-analysis to 
>>>>>>>>> the manual.
>>>>>>>>>
>>>>>>>>> This adds the ideas discussed in the thread
>>>>>>>>> http://thread.gmane.org/gmane.science.nmr.relax.devel/6684.
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> Modified:
>>>>>>>>>     trunk/docs/latex/dispersion.tex
>>>>>>>>>
>>>>>>>>> Modified: trunk/docs/latex/dispersion.tex
>>>>>>>>> URL: 
>>>>>>>>> http://svn.gna.org/viewcvs/relax/trunk/docs/latex/dispersion.tex?rev=25077&r1=25076&r2=25077&view=diff
>>>>>>>>> ==============================================================================
>>>>>>>>> --- trunk/docs/latex/dispersion.tex     (original)
>>>>>>>>> +++ trunk/docs/latex/dispersion.tex     Tue Aug 19 16:07:37 2014
>>>>>>>>> @@ -1689,8 +1689,9 @@
>>>>>>>>>        For the cluster specific parameters, i.e.\ the populations of
>>>>>>>>> the states and the exchange parameters, an average value will be used
>>>>>>>>> as the starting point.
>>>>>>>>>        For all other parameters, the $\Rtwozero$ values for each spin
>>>>>>>>> and magnetic field, as well as the parameters related to the chemical
>>>>>>>>> shift difference $\dw$, the optimised values of the previous run will
>>>>>>>>> be directly copied.
>>>>>>>>>      \item[Model nesting:]  If two models are nested, then the
>>>>>>>>> parameters of the simpler will be used as the starting point for
>>>>>>>>> optimisation of the more complex.
>>>>>>>>> -      The currently supported nested model pairs are `LM63' and `LM63
>>>>>>>>> 3-site', `CR72' and `CR72 full', `CR72' and `MMQ CR72', `NS CPMG
>>>>>>>>> 2-site 3D' and `NS CPMG 2-site 3D full', and `NS CPMG 2-site star' and
>>>>>>>>> `NS CPMG 2-site star full'.
>>>>>>>>> -      In these cases, the $\RtwozeroA$ and $\RtwozeroB$ parameter
>>>>>>>>> values are set to the simpler model $\Rtwozero$ value and the grid
>>>>>>>>> search is bypassed.
>>>>>>>>> +      The currently supported nested model sets are presented in
>>>>>>>>> Table~\ref{table: dispersion model nesting} on page~\pageref{table:
>>>>>>>>> dispersion model nesting}.
>>>>>>>>> +      The models are optimised in the order presented in that table.
>>>>>>>>> +      In some cases, the $\RtwozeroA$ and $\RtwozeroB$ parameter
>>>>>>>>> values are set to the simpler model $\Rtwozero$ value and the grid
>>>>>>>>> search is bypassed.
>>>>>>>>>      \item[Model equivalence:]  When two models are equivalent, the
>>>>>>>>> optimised parameters of one model can be used as the starting point of
>>>>>>>>> the other rather than performing a grid search.
>>>>>>>>>        This is used in the auto-analysis for avoiding the grid search
>>>>>>>>> in the numeric models.
>>>>>>>>>        The optimised `CR72' model is used for the `NS CPMG 2-site
>>>>>>>>> expanded', `NS CPMG 2-site 3D', and  `NS CPMG 2-site star' models.
>>>>>>>>> @@ -1722,6 +1723,103 @@
>>>>>>>>>  If you are a power user, you are free to use all of the relax user
>>>>>>>>> functions, the relax library, and the relax data store to implement
>>>>>>>>> your own protocol.
>>>>>>>>>  If you wish, the protocol can be converted into a new auto-analysis
>>>>>>>>> and distributed as part of relax.
>>>>>>>>>  The relax test suite will ensure the protocol remains functional for
>>>>>>>>> the lifetime of relax.
>>>>>>>>> +
>>>>>>>>> +\begin{landscape}
>>>>>>>>> +\begin{center}
>>>>>>>>> +\begin{small}
>>>>>>>>> +
>>>>>>>>> +% The longtable environment.
>>>>>>>>> +\begin{longtable}{ll}
>>>>>>>>> +
>>>>>>>>> +% Caption.
>>>>>>>>> +\caption{Model nesting for the relaxation dispersion auto-analysis.}
>>>>>>>>> +
>>>>>>>>> +% Header.
>>>>>>>>> +\\
>>>>>>>>> +\toprule
>>>>>>>>> +Model & Nested models\footnotemark[1] \\
>>>>>>>>> +\midrule
>>>>>>>>> +\endhead
>>>>>>>>> +
>>>>>>>>> +% Footer.
>>>>>>>>> +\bottomrule
>>>>>>>>> +\endfoot
>>>>>>>>> +
>>>>>>>>> +% Label.
>>>>>>>>> +\label{table: dispersion model nesting}
>>>>>>>>> +
>>>>>>>>> +
>>>>>>>>> +% Experiment independent models.
>>>>>>>>> +\\[-5pt]
>>>>>>>>> +Base models \\
>>>>>>>>> +\cline{1-1}
>>>>>>>>> +$\Rtwoeff/\Ronerhoprime$         & - \\
>>>>>>>>> +No Rex                           & - \\
>>>>>>>>> +
>>>>>>>>> +% CPMG-type models.
>>>>>>>>> +\\[-5pt]
>>>>>>>>> +Single quantum (SQ) CPMG-type \\
>>>>>>>>> +\cline{1-1}
>>>>>>>>> +LM63                             & - \\
>>>>>>>>> +LM63 3-site                      & LM63 \\
>>>>>>>>> +CR72                             & NS CPMG 2-site 3D, NS CPMG 2-site
>>>>>>>>> star, NS CPMG 2-site expanded, B14 \\
>>>>>>>>> +CR72 full                        & NS CPMG 2-site 3D full, NS CPMG
>>>>>>>>> 2-site star full, B14 full, NS CPMG 2-site 3D, \\
>>>>>>>>> +                                 & NS CPMG 2-site star, NS CPMG
>>>>>>>>> 2-site expanded, B14, CR72 \\
>>>>>>>>> +IT99                             & - \\
>>>>>>>>> +TSMFK01                          & - \\
>>>>>>>>> +B14                              & NS CPMG 2-site 3D, NS CPMG 2-site
>>>>>>>>> star, NS CPMG 2-site expanded, CR72 \\
>>>>>>>>> +B14 full                         & NS CPMG 2-site 3D full, NS CPMG
>>>>>>>>> 2-site star full, CR72 full, NS CPMG 2-site 3D, \\
>>>>>>>>> +                                 & NS CPMG 2-site star, NS CPMG
>>>>>>>>> 2-site expanded, B14, CR72 \\
>>>>>>>>> +NS CPMG 2-site expanded          & NS CPMG 2-site 3D, NS CPMG 2-site
>>>>>>>>> star, B14, CR72 \\
>>>>>>>>> +NS CPMG 2-site 3D                & NS CPMG 2-site star, NS CPMG
>>>>>>>>> 2-site expanded, B14, CR72 \\
>>>>>>>>> +NS CPMG 2-site 3D full           & NS CPMG 2-site star full, B14
>>>>>>>>> full, CR72 full, NS CPMG 2-site 3D, NS CPMG 2-site star, \\
>>>>>>>>> +                                 & NS CPMG 2-site expanded, B14, 
>>>>>>>>> CR72 \\
>>>>>>>>> +NS CPMG 2-site star              & NS CPMG 2-site 3D, NS CPMG 2-site
>>>>>>>>> expanded, B14, CR722 \\
>>>>>>>>> +NS CPMG 2-site star full         & NS CPMG 2-site 3D full, B14 full,
>>>>>>>>> CR72 full, NS CPMG 2-site 3D, NS CPMG 2-site star, \\
>>>>>>>>> +                                 & NS CPMG 2-site expanded, B14, 
>>>>>>>>> CR72 \\
>>>>>>>>> +
>>>>>>>>> +% SQ, ZQ, DQ and MQ CPMG-type models.
>>>>>>>>> +\\[-5pt]
>>>>>>>>> +MMQ (SQ, ZQ, DQ, \& MQ) CPMG-type \\
>>>>>>>>> +\cline{1-1}
>>>>>>>>> +MMQ CR72                         & NS MMQ 2-site \\
>>>>>>>>> +NS MMQ 2-site                    & MMQ CR72 \\
>>>>>>>>> +NS MMQ 3-site linear             & NS MMQ 2-site, MMQ CR72 \\
>>>>>>>>> +NS MMQ 3-site                    & NS MMQ 3-site linear, NS MMQ
>>>>>>>>> 2-site, MMQ CR72 \\
>>>>>>>>> +
>>>>>>>>> +% R1rho-type models.
>>>>>>>>> +\clearpage
>>>>>>>>> +\\[-5pt]
>>>>>>>>> +$\Ronerho$-type \\
>>>>>>>>> +\cline{1-1}
>>>>>>>>> +M61                              & - \\
>>>>>>>>> +M61 skew                         & - \\
>>>>>>>>> +DPL94                            & - \\
>>>>>>>>> +DPL94 $\Rone$ fit                & DPL94 \\
>>>>>>>>> +TP02                             & MP05, TAP03 \\
>>>>>>>>> +TP02 $\Rone$ fit                 & MP05 $\Rone$ fit, TAP03 $\Rone$ 
>>>>>>>>> fit \\
>>>>>>>>> +TAP03                            & MP05, TP02 \\
>>>>>>>>> +TAP03 $\Rone$ fit                & MP05 $\Rone$ fit, TP02 $\Rone$ 
>>>>>>>>> fit \\
>>>>>>>>> +MP05                             & TAP03, TP02 \\
>>>>>>>>> +MP05 $\Rone$ fit                 & TAP03 $\Rone$ fit, TP02 $\Rone$ 
>>>>>>>>> fit \\
>>>>>>>>> +NS $\Ronerho$ 2-site             & MP05, TAP03, TP02 \\
>>>>>>>>> +NS $\Ronerho$ 2-site $\Rone$ fit & MP05 $\Rone$ fit, TAP03 $\Rone$
>>>>>>>>> fit, TP02 $\Rone$ fit \\
>>>>>>>>> +NS $\Ronerho$ 3-site linear      & NS $\Ronerho$ 2-site, MP05, 
>>>>>>>>> TAP03, TP02 \\
>>>>>>>>> +NS $\Ronerho$ 3-site             & NS $\Ronerho$ 3-site linear, NS
>>>>>>>>> $\Ronerho$ 2-site, MP05, TAP03, TP02 \\
>>>>>>>>> +
>>>>>>>>> +\footnotetext[1]{The nested models are ordered by preference.
>>>>>>>>> +The earliest model in the list which has been optimised in the
>>>>>>>>> auto-analysis will be used as the nested model.
>>>>>>>>> +For example for the 'B14 full' model, the 'CR72 full' model is the
>>>>>>>>> first preference, followed by 'B14', then the final fall back is
>>>>>>>>> 'CR72' is neither 'CR72 full' or 'B14' have been optimised.
>>>>>>>>> +If none of the nested models have been optimised, the grid search
>>>>>>>>> will be performed.
>>>>>>>>> +In this example, 'CR72 full' is preferred as it has perfect parameter
>>>>>>>>> nesting -- all parameters of 'B14 full' are found in 'CR72 full'.
>>>>>>>>> +The B14 and CR72 are fallbacks, and for these R20A and R20B are
>>>>>>>>> copied from R20 so they start optimisation as R20A == R20B.
>>>>>>>>> +Hence 'CR72 full' whereby R20A != R20B is a much better starting
>>>>>>>>> point as R20A and R20B have been optimised to different values.
>>>>>>>>> +But because of the large model instability in the 'CR72 full' model,
>>>>>>>>> you may wish to instead start with 'B14'.}
>>>>>>>>> +
>>>>>>>>> +\end{longtable}
>>>>>>>>> +\end{small}
>>>>>>>>> +\end{center}
>>>>>>>>> +\end{landscape}
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>  % Dispersion curve insignificance.
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> _______________________________________________
>>>>>>>>> relax (http://www.nmr-relax.com)
>>>>>>>>>
>>>>>>>>> This is the relax-commits mailing list
>>>>>>>>> relax-comm...@gna.org
>>>>>>>>>
>>>>>>>>> To unsubscribe from this list, get a password
>>>>>>>>> reminder, or change your subscription options,
>>>>>>>>> visit the list information page at
>>>>>>>>> https://mail.gna.org/listinfo/relax-commits
>>>>>>>>>
>>>>>>>>> _______________________________________________
>>>>>>>>> relax (http://www.nmr-relax.com)
>>>>>>>>>
>>>>>>>>> This is the relax-devel mailing list
>>>>>>>>> relax-devel@gna.org
>>>>>>>>>
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