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SUMMARY:Self-avoiding Hamiltonian Walks Counting in Parallel processing mo
 de
DTSTART;VALUE=DATE-TIME:20121018T134500Z
DTEND;VALUE=DATE-TIME:20121018T150000Z
DTSTAMP;VALUE=DATE-TIME:20261011T022734Z
UID:indico-contribution-196@indico.ipb.ac.rs
DESCRIPTION:Speakers: Sreten Lekic (Faculty of Natural Sciences University
  of Banja Luka)\nWe have developed a program for counting self-avoiding Ha
 miltonian walks to run on multiple processors in a parallel mode. We study
  Hamiltonian walks (HWs) on the family of two-dimensional modified Sierpin
 ski gasket fractals\, as a simple model for compact polymers in nonhomogen
 eous media in two dimensions. We apply an exact recursive method which all
 ows for explicit enumeration of extremely long Hamiltonian walks of differ
 ent types: closed and open\, with end-points anywhere in the lattice\, or 
 with one or both ends fixed at the corner sites. The leading term n is 
 characterized by the value of the connectivity constant 1\, which depen
 ds on fractal type\, but not on the type of HW.\n\nhttps://events.saifa.rs
 /event/291/contributions/196/
LOCATION:National Library of Serbia
URL:https://events.saifa.rs/event/291/contributions/196/
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