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Figure 2
SA algorithm as implemented in DAMMIN (left) and DAMMIF (right). An initial starting model X is refined to yield the best possible fit to the experimental data. In DAMMIN, only one neighbouring model [X'] is taken into account at a time. If multiple cores or CPUs are available, it is possible to prefetch multiple models in parallel, here shown as [X'], [ X''], [ X''']. Each prefetched model is then examined and either accepted or rejected, according to the rules of SA.

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