Document Detail


Statistical mechanics of steiner trees.
MedLine Citation:
PMID:  18764290     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The minimum weight Steiner tree (MST) is an important combinatorial optimization problem over networks that has applications in a wide range of fields. Here we discuss a general technique to translate the imposed global connectivity constrain into many local ones that can be analyzed with cavity equation techniques. This approach leads to a new optimization algorithm for MST and allows us to analyze the statistical mechanics properties of MST on random graphs of various types.
Authors:
M Bayati; C Borgs; A Braunstein; J Chayes; A Ramezanpour; R Zecchina
Publication Detail:
Type:  Journal Article     Date:  2008-07-18
Journal Detail:
Title:  Physical review letters     Volume:  101     ISSN:  0031-9007     ISO Abbreviation:  Phys. Rev. Lett.     Publication Date:  2008 Jul 
Date Detail:
Created Date:  2008-09-03     Completed Date:  2008-09-16     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0401141     Medline TA:  Phys Rev Lett     Country:  United States    
Other Details:
Languages:  eng     Pagination:  037208     Citation Subset:  IM    
Affiliation:
Microsoft Research, One Microsoft Way, 98052 Redmond, Washington, USA.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Models, Statistical*
Population Dynamics

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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