ISBN: 9781107062375 - complexity dichotomies for counting problems: volume 1, boolean domain (19 risultati)

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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condizione: Used. pp. 470.

Condizione: Used. pp. 470.

Condizione: Used. pp. 470.

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Condizione: New. 2017. 1st Edition. hardcover. . . . . .

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Complexity theory aims to understand and classify computational problems, especially decision problems, according to their inherent complexity. This book uses new techniques to expand the theory for use with counting problems. The authors present dichotomy classifications for broad classes of counting problems in the realm of P and NP. Classifications are proved for partition functions of spin systems, graph homomorphisms, constraint satisfaction problems, and Holant problems. The book assumes minimal prior knowledge of computational complexity theory, developing proof techniques as needed and gradually increasing the generality and abstraction of the theory. This volume presents the theory on the Boolean domain, and includes a thorough presentation of holographic algorithms, culminating in classifications of computational problems studied in exactly solvable models from statistical mechanics.…

Hardcover. Condizione: new. Hardcover. Complexity theory aims to understand and classify computational problems, especially decision problems, according to their inherent complexity. This book uses new techniques to expand the theory for use with counting problems. The authors present dichotomy classifications for broad classes of counting problems in the realm of P and NP. Classifications are proved for partition functions of spin systems, graph homomorphisms, constraint satisfaction problems, and Holant problems. The book assumes minimal prior knowledge of computational complexity theory, developing proof techniques as needed and gradually increasing the generality and abstraction of the theory. This volume presents the theory on the Boolean domain, and includes a thorough presentation of holographic algorithms, culminating in classifications of computational problems studied in exactly solvable models from statistical mechanics. Complexity theory aims to understand and classify computational problems according to their inherent complexity. This book uses new techniques to expand the theory for use with counting problems on the Boolean domain and is broadly accessible to researchers and graduate students. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorJin-Yi Cai is Professor of Computer Science and the Steenbock Professor of Mathematical Sciences at the University of Wisconsin, Madison. He studied at Fudan University, Shanghai (class of 77) and at Cornell University.…

Buch. Condizione: Neu. Complexity Dichotomies for Counting Problems | Jin-Yi Cai (u. a.) | Buch | Gebunden | Englisch | 2018 | Cambridge University Press | EAN 9781107062375 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…