2015-11-12 19:15 GMT-07:00 <[email protected]>:

>
> Hello, Christoph
>
> In the appendix of the reference *Rühle V, Junghans C, Lukyanov A, et
> al. Versatile object-oriented toolkit for coarse-graining applications[J].
> Journal of Chemical Theory and Computation, 2009, 5(12): 3211-3223.*
> It requires that all interactions should be inputted by "fmatch.xml"
> theoretically.
>
>
> <https://lh3.googleusercontent.com/-ewba7Sf00LU/VkVENx2UvGI/AAAAAAAAAAc/mhClv_Xx9Hc/s1600/%25E6%258D%2595%25E8%258E%25B7.JPG>
> Actually, I just put only one interaction in "fmatch.xml" as input, then
> VOTCA output a normal result, whether it is correct or not.
> Does it influence the result, when I input only one interaction?
>
If I remember the algorithm correctly, the difference between one vs. all
at once is that, in the former case the least square is minimize for a
single interaction not considering the others, while in the latter it
is minimized for all at once. This might lead to different solutions.

Christoph

> Thanks a lot !
>
> Nickya
>
>
>
> 在 2015年11月11日星期三 UTC+8上午5:48:06,Christoph Junghans写道:
>>
>> 2015-11-09 19:21 GMT-07:00  <[email protected]>:
>> > Hello, Rom, Christoph, Sikandar
>> >
>> > It seems that I got into the same trouble with you.
>> > It was out of memory by using a large xml file.
>> > Then I ran a single interaction or several interactions.
>> > "Single" was much faster than "several".
>> > However, some of the results were normol, some were "nan".
>> >
>> > ***.force
>> > ...
>> > 1.91 -2.89326427 3.107846992 i
>> > 1.92 -1.848309842 2.648399863 i
>> > 1.93 -0.5889638119 2.629085293 i
>> > 1.94 0.4264542843 3.10001575 i
>> > 1.95 0.7396249096 3.516476759 i
>> > 1.96 0.06407534287 3.515091163 i
>> > 1.97 -1.53992564 3.334205836 i
>> > 1.98 -3.840262448 3.585295232 i
>> > 1.99 -6.604819488 4.667911077 i
>> > 2 -9.601481171 6.365280589 i
>> > ...
>> >
>> >
>> > ***.force
>> > ..
>> > 1.91 nan nan i
>> > 1.92 nan nan i
>> > 1.93 nan nan i
>> > 1.94 nan nan i
>> > 1.95 nan nan i
>> > 1.96 nan nan i
>> > 1.97 nan nan i
>> > 1.98 nan nan i
>> > 1.99 nan nan i
>> > 2 nan nan i
>> > ...
>> >
>> >
>> > How to avoid these mistakes?
>> You get NaNs if there is not enough statistics in each bin. Did you
>> play with the frames_per_block option?
>> The other option is to look at the rdf and pick min and max a little
>> tighter, meaning so that it only covers the region where there is
>> actually structure.
>>
>> Maybe the other Christoph can say something about that issue.
>>
>> Christoph
>>
>>
>> >
>> > Thanks in Advance,
>> > Nickya
>> >
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>>
>>
>>
>> --
>> Christoph Junghans
>> Web: http://www.compphys.de
>>
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-- 
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Web: http://www.compphys.de

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