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  • PACS. 75.10.Nr Spin-glass and other random models – 02.60.Pn Numerical optimization  (2)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    The European physical journal 29 (2002), S. 457-468 
    ISSN: 1434-6036
    Keywords: PACS. 75.10.Nr Spin-glass and other random models – 02.60.Pn Numerical optimization
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract: We get back to the computation of the leading finite size corrections to some random link matching problems, first adressed by Mézard and Parisi [J. Phys. France 48, 1451 (1987)]. In the so-called bipartite case, their result is in contradiction with subsequent works. We show that they made some mistakes, and correcting them, we get the expected result. In the non bipartite case, we agree with their result but push the analytical treatment further.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    The European physical journal 22 (2001), S. 229-237 
    ISSN: 1434-6036
    Keywords: PACS. 75.10.Nr Spin-glass and other random models – 02.60.Pn Numerical optimization
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract: We consider a class of random matching problems where the distance between two points has a probability law which, for a small distance l, goes like lr. In the framework of the cavity method, in the limit of an infinite number of points, we derive equations for pk, the probability for some given point to be matched to its kth nearest neighbor in the optimal configuration. These equations are solved in two limiting cases: r = 0 -- where we recover p k = 1/2k, as numerically conjectured by Houdayer et al. and recently rigorously proved by Aldous -- and r→ + ∞. For 0 〈 r 〈 + ∞, we are not able to solve the equations analytically, but we compute the leading behavior of pk for large k.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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