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The Complexity of Valued Constraint Satisfaction Problems / by Stanislav Živný.

SpringerLink Books Computer Science (2011-2024) Available online

SpringerLink Books Computer Science (2011-2024)
Format:
Book
Author/Creator:
Živný, Stanislav, author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Cognitive technologies 1611-2482
Cognitive Technologies, 1611-2482
Language:
English
Subjects (All):
Computers.
Artificial intelligence.
Logic, Symbolic and mathematical.
Computer science--Mathematics.
Theory of Computation.
Artificial Intelligence.
Mathematical Logic and Foundations.
Mathematics of Computing.
Local Subjects:
Theory of Computation.
Artificial Intelligence.
Mathematical Logic and Foundations.
Mathematics of Computing.
Physical Description:
1 online resource (XVIII, 170 pages).
Edition:
First edition 2012.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
System Details:
text file PDF
Summary:
The topic of this book is the following optimisation problem: given a set of discrete variables and a set of functions, each depending on a subset of the variables, minimise the sum of the functions over all variables. This fundamental research problem has been studied within several different contexts of discrete mathematics, computer science and artificial intelligence under different names: Min-Sum problems, MAP inference in Markov random fields (MRFs) and conditional random fields (CRFs), Gibbs energy minimisation, valued constraint satisfaction problems (VCSPs), and, for two-state variables, pseudo-Boolean optimisation. In this book the author presents general techniques for analysing the structure of such functions and the computational complexity of the minimisation problem, and he gives a comprehensive list of tractable cases. Moreover, he demonstrates that the so-called algebraic approach to VCSPs can be used not only for the search for tractable VCSPs, but also for other questions such as finding the boundaries to the applicability of certain algorithmic techniques. The book is suitable for researchers interested in methods and results from the area of constraint programming and discrete optimisation.
Contents:
Chap. 1 Introduction
Chap. 2 Background
Chap. 3 Expressibility of Valued Constraints
Chap. 4 Expressibility of Fixed-Arity Languages
Chap. 5 Expressibility of Submodular Languages
Chap. 6 Non-expressibility of Submodular Languages
Chap. 7 Tractable Languages
Chap. 8 Conservative Languages
Chap. 9 The Power of Linear Programming
Chap. 10 Hybrid Tractability
Chap. 11 Summary and Open Problems
References
Index.
Other Format:
Printed edition:
ISBN:
978-3-642-33974-5
9783642339745
Access Restriction:
Restricted for use by site license.

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