Complexity dichotomies for counting problems, Volume 1, Boolean domain:

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 counti...

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Bibliographic Details
Main Author: Cai, Jin-yi 1961- (Author)
Format: Electronic eBook
Language:English
Published: Cambridge Cambridge University Press 2017
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Online Access:FHN01
BSB01
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Summary: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
Item Description:Title from publisher's bibliographic system (viewed on 17 Nov 2017)
Physical Description:1 online resource (x, 461 pages)
ISBN:9781107477063
DOI:10.1017/9781107477063