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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 101,03
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 90,19
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 87,81
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 98,80
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Lingua: Inglese
Editore: Oxford University Press, GB, 2009
ISBN 10: 019857083X ISBN 13: 9780198570837
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 125,01
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Aggiungi al carrelloHardback. Condizione: New. This book presents a unified approach to a rich and rapidly evolving research domain at the interface between statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. It is accessible to graduate students and researchers without a specific training in any of these fields. The selected topics include spin glasses, error correcting codes, satisfiability, and are central to each field. The approach focuses on large random instances and adopts a common probabilistic formulation in terms of graphical models. It presents message passing algorithms like belief propagation and survey propagation, and their use in decoding and constraint satisfaction solving. It also explains analysis techniques like density evolution and the cavity method, and uses them to study phase transitions.
Lingua: Inglese
Editore: Oxford University Press, GB, 2009
ISBN 10: 019857083X ISBN 13: 9780198570837
Da: Rarewaves.com UK, London, Regno Unito
EUR 117,18
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Aggiungi al carrelloHardback. Condizione: New. This book presents a unified approach to a rich and rapidly evolving research domain at the interface between statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. It is accessible to graduate students and researchers without a specific training in any of these fields. The selected topics include spin glasses, error correcting codes, satisfiability, and are central to each field. The approach focuses on large random instances and adopts a common probabilistic formulation in terms of graphical models. It presents message passing algorithms like belief propagation and survey propagation, and their use in decoding and constraint satisfaction solving. It also explains analysis techniques like density evolution and the cavity method, and uses them to study phase transitions.
Da: Revaluation Books, Exeter, Regno Unito
EUR 201,72
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Aggiungi al carrelloHardcover. Condizione: Brand New. 569 pages. 10.00x7.00x1.50 inches. In Stock.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 91,49
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 104,92
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Da: Revaluation Books, Exeter, Regno Unito
EUR 111,84
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Aggiungi al carrelloHardcover. Condizione: Brand New. 569 pages. 10.00x7.00x1.50 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Oxford University Press, Oxford, 2009
ISBN 10: 019857083X ISBN 13: 9780198570837
Da: CitiRetail, Stevenage, Regno Unito
EUR 87,82
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book presents a unified approach to a rich and rapidly evolving research domain at the interface between statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. It is accessible to graduate students and researchers without a specific training in any of these fields. The selected topics include spin glasses, error correcting codes, satisfiability, and are central to each field. The approach focuses on large randominstances and adopts a common probabilistic formulation in terms of graphical models. It presents message passing algorithms like belief propagation and survey propagation, and their use in decoding andconstraint satisfaction solving. It also explains analysis techniques like density evolution and the cavity method, and uses them to study phase transitions. A very active field of research is emerging at the frontier of statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. This book sets up a common language and pool of concepts, accessible to students and researchers from each of these fields. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 117,88
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Oxford University Press, Oxford, 2009
ISBN 10: 019857083X ISBN 13: 9780198570837
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This book presents a unified approach to a rich and rapidly evolving research domain at the interface between statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. It is accessible to graduate students and researchers without a specific training in any of these fields. The selected topics include spin glasses, error correcting codes, satisfiability, and are central to each field. The approach focuses on large randominstances and adopts a common probabilistic formulation in terms of graphical models. It presents message passing algorithms like belief propagation and survey propagation, and their use in decoding andconstraint satisfaction solving. It also explains analysis techniques like density evolution and the cavity method, and uses them to study phase transitions. A very active field of research is emerging at the frontier of statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. This book sets up a common language and pool of concepts, accessible to students and researchers from each of these fields. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 125,50
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a unified approach to a rich and rapidly evolving research domain at the interface between statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. It is accessible to graduate students and researchers without a specific training in any of these fields. The selected topics include spin glasses, error correcting codes, satisfiability, and are central to each field. The approach focuses on large randominstances and adopts a common probabilistic formulation in terms of graphical models. It presents message passing algorithms like belief propagation and survey propagation, and their use in decoding and constraint satisfaction solving. It also explains analysis techniques like density evolution and thecavity method, and uses them to study phase transitions.