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dc.contributor.authorNishimori, Hidetoshi
dc.date.accessioned2025-03-07T14:17:11Z
dc.date.available2025-03-07T14:17:11Z
dc.date.issued2001
dc.date.submitted2023-09-27T08:02:06Z
dc.identifierOCN: 608023241
dc.identifierhttps://library.oapen.org/handle/20.500.12657/76439
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/154015
dc.description.abstractSpin glasses are magnetic materials with strong disorder. Statistical mechanics has been a powerful tool to theoretically analyse various unique properties of spin glasses. A number of new analytical techniques have been developed to establish a theory of spin glasses. Surprisingly, these techniques have offered new tools and viewpoints for the understanding of information processing problems, including neural networks, error-correcting codes, image restoration, and optimization problems. A vast, interdisciplinary field has consequently been developing between physics and information, or more specifically, between the statistical physics of spin glasses and several important aspects of information processing tasks. This book provides a broad overview of this new field. It also contains detailed descriptions of the theory of spin glasses.
dc.languageEnglish
dc.relation.ispartofseriesInternational Series of Monographs on Physics
dc.rightsopen access
dc.subject.otherspin glass, information theory, error-correcting codes, statistical mechanics, replica method, image restoration, neural networks
dc.titleStatistical Physics of Spin Glasses and Information Processing
dc.title.alternativeAn Introduction
dc.typebook
oapen.identifier.doi10.1093/acprof:oso/9780198509417.001.0001
oapen.relation.isPublishedBydb4e319f-ca9f-449a-bcf2-37d7c6f885b1
oapen.pages256
oapen.place.publicationOxford


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