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dc.contributor.authorNishimori, Hidetoshi
dc.date.accessioned2023-09-27T08:02:06Z
dc.date.available2023-09-27T08:02:06Z
dc.date.issued2001
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/76439
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.en_US
dc.languageEnglishen_US
dc.relation.ispartofseriesInternational Series of Monographs on Physicsen_US
dc.subject.otherspin glass, information theory, error-correcting codes, statistical mechanics, replica method, image restoration, neural networksen_US
dc.titleStatistical Physics of Spin Glasses and Information Processingen_US
dc.title.alternativeAn Introductionen_US
dc.typebook
oapen.identifier.doi10.1093/acprof:oso/9780198509417.001.0001en_US
oapen.relation.isPublishedByb9501915-cdee-4f2a-8030-9c0b187854b2en_US
oapen.pages256en_US
oapen.place.publicationOxforden_US


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