Hi Marc

Can you please send inverse.log file? It will have more details about the
failure.

Thanks
Sikandar


On Tue, May 6, 2014 at 5:40 PM, Marc Segovia <[email protected]> wrote:

> Hi Sikandar
>
> You are right the rdf are converged in spce/water.
>
>  Now I move to other model, I fit settings.xml script, include as guess a
> initial value from ibi previous, but an old problem appears.
>
>  "table_average.sh: averaging with awk failed"
>
> I saw in mailing list, this is an issue related with a mismatch in
> param.cur,  same happens in my case, steep-001 runs well, but in 002
> colapse, both files mismatch, different number of parameters.
>
> My develpement version is 1.88, from 19.10.2013, maybe this wasn't solved
> yet , so I need to update my dev version ?
>
>
> Thanking in advance by your help
>
> Best Regards
> Marc
>
>
> On Sat, May 3, 2014 at 1:29 PM, Sikandar Mashayak <[email protected]>wrote:
>
>> Hi Marc
>>
>> Did you check the CG-CG RDF at 300the step? How do they compare with the
>> reference RDF?
>>
>> In my experience, I found that, in the case of bulk water, with the
>> current RE minimization method in VOTCA,
>> the CG potentials more or less converge to the values which reproduce
>> target RDF in less than 200 iterations.
>> However, due to statistical nature of short CG-MD simulations at every
>> update step, the values of CG potentials
>> fluctuate around the converged values. These fluctuations may or may not
>> satisfy the convergence check criteria, i.e., they may be smaller or larger
>> than the specified tolerance, and it depends on various setting parameters
>> such as length of CG-MD simulations, relaxation parameters, and number of
>> knot values.
>>
>> Therefore, it is always good to check the CG particle RDFs periodically
>> to judge whether the RE minimization is
>> converged or not. I guess, in VOTCA, there is a way to use CG particle
>> RDFs as a measure to decide convergence. I will check how to do that and
>> get back to you.
>>
>> We are also working on implementing alternative approach for RE
>> minimization, which is a deterministic approach. It is based on reweighting
>> strategy. You can read more about it in the article
>>
>> Chaimovich, Aviel, and M. Scott Shell. “Coarse-Graining Errors and
>> Numerical Optimization Using a Relative Entropy Framework.” *The Journal
>> of Chemical Physics* 134, no. 9 (March 3, 2011): 094112.
>> doi:10.1063/1.3557038
>>
>> I hope it helps. Let us know if you have any further questions or
>> suggestions.
>>
>> Thanks,
>> Sikandar
>>
>>
>>
>>
>>
>>
>> On Fri, May 2, 2014 at 4:31 PM, Marc Segovia <[email protected]>wrote:
>>
>>> Hi
>>>
>>> Last days I run relative entropy tutorial, using votca 1.3, in spce
>>> water model
>>> After several days in my PC, finally the cg don't converge.
>>>
>>> step 300 done, needed 1083 secs
>>> Doing convergence check: default
>>> Iterations are not converged, going on
>>>
>>> My question is , this happens because a convergence of 0.001 is to
>>> small, or because numerical errors in my software or because the number of
>>> configuration to average is too low , 50 ? or something else.
>>>
>>> Thanking in advance by your help
>>>
>>> Best Regards
>>>
>>> Marc
>>>
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