I can set it 1 - pA?

Best
Troels

2014-08-19 18:13 GMT+02:00 Edward d'Auvergne <[email protected]>:
> 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 <[email protected]> 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 <[email protected]>:
>>> 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 <[email protected]> 
>>> 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:  <[email protected]>
>>>> Date: 2014-08-19 16:07 GMT+02:00
>>>> Subject: r25077 - /trunk/docs/latex/dispersion.tex
>>>> To: [email protected]
>>>>
>>>>
>>>> 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.
>>>>
>>>>
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