A hierarchical approach for computing spin glass ground states
| Autor: | Jérôme Houdayer, Olivier C. Martin |
|---|---|
| Přispěvatelé: | Institut für Physik [Mainz], Johannes Gutenberg - Universität Mainz (JGU), Laboratoire de Physique Théorique et Modèles Statistiques (LPTMS), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11) |
| Jazyk: | angličtina |
| Rok vydání: | 2001 |
| Předmět: |
Physics
Spin glass FOS: Physical sciences Population based Disordered Systems and Neural Networks (cond-mat.dis-nn) Condensed Matter - Disordered Systems and Neural Networks 01 natural sciences 010305 fluids & plasmas Quantum mechanics 0103 physical sciences Statistical physics [PHYS.COND.CM-DS-NN]Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn] Disordered Systems and Neural Networks 010306 general physics Reliability (statistics) |
| Zdroj: | Physical Review E : Statistical, Nonlinear, and Soft Matter Physics Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, American Physical Society, 2001, 64, pp.056704 |
| ISSN: | 1539-3755 1550-2376 |
| Popis: | We describe a numerical algorithm for computing spin glass ground states with a high level of reliability. The method uses a population based search and applies optimization on multiple scales. Benchmarks are given leading to estimates of the performance on large lattices. Comment: 8 pages, 3 figures, RevTex format |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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