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24 April 2024
 
  » arxiv » math-ph/0309063

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Interpolating Greedy and Reluctant Algorithms
P.Contucci ; C. Giardina’ ; C. Giberti ; F.Unguendoli ; C. Vernia ;
Date 30 Sep 2003
Subject Mathematical Physics; Disordered Systems and Neural Networks | math-ph cond-mat.dis-nn math.MP
AbstractIn a standard NP-complete optimization problem we introduce an interpolating algorithm between the quick decrease along the gradient (greedy dynamics) and a slow decrease close to the level curves (reluctant dynamics). We find that for a fixed elapsed computer time the best performance of the optimization is reached at a special value of the interpolation parameter, considerably improving the results of the pure cases greedy and reluctant.
Source arXiv, math-ph/0309063
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