Hi Sikandar

 Excuse me take the wrong file, by catching it quickly.
 You went right to the point, a point in parameter table is in "i" when
must be "o", the border data, the problem was <=
 I change it, and runs fine.
 On my understanding is that "i" is in range, which means include in cubic
b splines fitting.
 Thank you by your help

 Best Regards
 Marc






On Wed, May 7, 2014 at 11:35 AM, Sikandar Mashayak <[email protected]>wrote:

> Hi Marc
>
> The inverse.xml file you have sent is actually the xml input settings
> file. I was looking for the log-file
> which contains the detailed output messages of running csg_inverse.
>
> Anyway, I am guessing the error "table_average.sh: averaging with awk
> failed" may be due to
> flags- mismatch between the initial parameter tables and step_002
> parameters. table_average
> script computes the averages of CG potential parameters and tables. And by
> default, it requires the
> flags in all the rows of all the tables to match exactly.
>
> So, could you please make sure that in the initial parameter table all the
> flags for r <= cbspl.min are set to 'o'
> and the flags for r > cbspl.min are 'i'. You can refer to initial
> parameter table and settings.
>
> Let me know if this solves the issue. If not please send me the
> inverse.log the one I mentioned above.
>
> If you need, I can give you more information what are flags and why we use
> them, once we take care your
> issue.
>
> Thanks,
> Sikandar
>
>
> On Tue, May 6, 2014 at 7:27 PM, Marc Segovia <[email protected]>wrote:
>
>> Hi Sikandar
>>
>> Attached are inverse.log file and settings.xml files.
>> Thank you
>> Marc
>>
>>
>>
>>
>> On Tue, May 6, 2014 at 9:02 PM, Sikandar Mashayak 
>> <[email protected]>wrote:
>>
>>> 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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