Abstract
A localized method to distribute paths on random graphs is devised, aimed at finding the shortest paths between given source/destination pairs while avoiding path overlaps at nodes. We propose a method based on message-passing techniques to process global information and distribute paths optimally. Statistical properties such as scaling with system size and number of paths, average path-length and the transition to the frustrated regime are analyzed. The performance of the suggested algorithm is evaluated through a comparison against a greedy algorithm.
Original language | English |
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Article number | P07009 |
Number of pages | 21 |
Journal | Journal of Statistical Mechanics |
Volume | 2014 |
Issue number | 7 |
Early online date | 11 Jul 2014 |
DOIs | |
Publication status | Published - Jul 2014 |
Bibliographical note
© 2014 IOP Publishing Ltd and SISSA Medialab srl.Funding: Marie Curie Training Network NETADIS (FP7, grant 290038); EU FET FP7 project STAMINA (FP7–265496); Royal Society Exchange Grant IE110151; “Laboratoire d’Excellence Physics Atom Light Matter” (LabEx PALM) overseen by the French National Research Agency (ANR) as part of the “Investissements d’Avenir” program (reference: ANR-10-LABX-0039); and Research Grants Council of Hong Kong (605010 and 604512).
Keywords
- cavity and replica method
- message-passing algorithms
- optimization over networks