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Dagstuhl Follow-Ups, Volume 7

The Constraint Satisfaction Problem: Complexity and Approximability

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Publication Details

  • published at: 2017-02-21
  • Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
  • ISBN: 978-3-95977-003-3
  • DBLP: db/conf/dagstuhl/dfu7

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Document
Complete Volume
DOI: 10.4230/DFU.Vol7.15301
DFU, Volume 7, The Constraint Satisfaction Problem: Complexity and Approximability, Complete Volume

Authors: Andrei Krokhin and Stanislav Zivny

Abstract
DFU, Volume 7, The Constraint Satisfaction Problem: Complexity and Approximability, Complete Volume
Cite as

The Constraint Satisfaction Problem: Complexity and Approximability. Dagstuhl Follow-Ups, Volume 7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@Collection{DFU.Vol7.15301,
  title =	{{DFU, Volume 7, The Constraint Satisfaction Problem: Complexity and Approximability, Complete Volume}},
  booktitle =	{The Constraint Satisfaction Problem: Complexity and Approximability},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-95977-003-3},
  ISSN =	{1868-8977},
  year =	{2017},
  volume =	{7},
  editor =	{Krokhin, Andrei and Zivny, Stanislav},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol7.15301},
  URN =		{urn:nbn:de:0030-drops-69752},
  doi =		{10.4230/DFU.Vol7.15301},
  annote =	{Keywords: Nonnumerical Algorithms and Problems}
}
Document
DOI: 10.4230/DFU.Vol7.15301.i
Front Matter, Table of Contents, Preface, List of Authors

Authors: Andrei Krokhin and Stanislav Zivny

Abstract
Front Matter, Table of Contents, Preface, List of Authors
Cite as

The Constraint Satisfaction Problem: Complexity and Approximability. Dagstuhl Follow-Ups, Volume 7, pp. 0:i-0:xii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InCollection{krokhin_et_al:DFU.Vol7.15301.i,
  author =	{Krokhin, Andrei and Zivny, Stanislav},
  title =	{{Front Matter, Table of Contents, Preface, List of Authors}},
  booktitle =	{The Constraint Satisfaction Problem: Complexity and Approximability},
  pages =	{0:i--0:xii},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-95977-003-3},
  ISSN =	{1868-8977},
  year =	{2017},
  volume =	{7},
  editor =	{Krokhin, Andrei and Zivny, Stanislav},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol7.15301.i},
  URN =		{urn:nbn:de:0030-drops-69702},
  doi =		{10.4230/DFU.Vol7.15301.i},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, List of Authors}
}
Document
DOI: 10.4230/DFU.Vol7.15301.1
Polymorphisms, and How to Use Them

Authors: Libor Barto, Andrei Krokhin, and Ross Willard

Abstract
This article describes the algebraic approach to Constraint Satisfaction Problem that led to many developments in both CSP and universal algebra. No prior knowledge of universal algebra is assumed.
Cite as

Libor Barto, Andrei Krokhin, and Ross Willard. Polymorphisms, and How to Use Them. In The Constraint Satisfaction Problem: Complexity and Approximability. Dagstuhl Follow-Ups, Volume 7, pp. 1-44, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InCollection{barto_et_al:DFU.Vol7.15301.1,
  author =	{Barto, Libor and Krokhin, Andrei and Willard, Ross},
  title =	{{Polymorphisms, and How to Use Them}},
  booktitle =	{The Constraint Satisfaction Problem: Complexity and Approximability},
  pages =	{1--44},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-95977-003-3},
  ISSN =	{1868-8977},
  year =	{2017},
  volume =	{7},
  editor =	{Krokhin, Andrei and Zivny, Stanislav},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol7.15301.1},
  URN =		{urn:nbn:de:0030-drops-69595},
  doi =		{10.4230/DFU.Vol7.15301.1},
  annote =	{Keywords: Constraint satisfaction, Complexity, Universal algebra, Polymorphism}
}
Document
DOI: 10.4230/DFU.Vol7.15301.45
Absorption in Universal Algebra and CSP

Authors: Libor Barto and Marcin Kozik

Abstract
The algebraic approach to Constraint Satisfaction Problem led to many developments in both CSP and universal algebra. The notion of absorption was successfully applied on both sides of the connection. This article introduces the concept of absorption, illustrates its use in a number of basic proofs and provides an overview of the most important results obtained by using it.
Cite as

Libor Barto and Marcin Kozik. Absorption in Universal Algebra and CSP. In The Constraint Satisfaction Problem: Complexity and Approximability. Dagstuhl Follow-Ups, Volume 7, pp. 45-77, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InCollection{barto_et_al:DFU.Vol7.15301.45,
  author =	{Barto, Libor and Kozik, Marcin},
  title =	{{Absorption in Universal Algebra and CSP}},
  booktitle =	{The Constraint Satisfaction Problem: Complexity and Approximability},
  pages =	{45--77},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-95977-003-3},
  ISSN =	{1868-8977},
  year =	{2017},
  volume =	{7},
  editor =	{Krokhin, Andrei and Zivny, Stanislav},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol7.15301.45},
  URN =		{urn:nbn:de:0030-drops-69608},
  doi =		{10.4230/DFU.Vol7.15301.45},
  annote =	{Keywords: Constraint satisfaction problem, Algebraic approach, Absorption}
}
Document
DOI: 10.4230/DFU.Vol7.15301.79
Constraint Satisfaction Problems over Numeric Domains

Authors: Manuel Bodirsky and Marcello Mamino

Abstract
We present a survey of complexity results for constraint satisfaction problems (CSPs) over the integers, the rationals, the reals, and the complex numbers. Examples of such problems are feasibility of linear programs, integer linear programming, the max-atoms problem, Hilbert's tenth problem, and many more. Our particular focus is to identify those CSPs that can be solved in polynomial time, and to distinguish them from CSPs that are NP-hard. A very helpful tool for obtaining complexity classifications in this context is the concept of a polymorphism from universal algebra.
Cite as

Manuel Bodirsky and Marcello Mamino. Constraint Satisfaction Problems over Numeric Domains. In The Constraint Satisfaction Problem: Complexity and Approximability. Dagstuhl Follow-Ups, Volume 7, pp. 79-111, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InCollection{bodirsky_et_al:DFU.Vol7.15301.79,
  author =	{Bodirsky, Manuel and Mamino, Marcello},
  title =	{{Constraint Satisfaction Problems over Numeric Domains}},
  booktitle =	{The Constraint Satisfaction Problem: Complexity and Approximability},
  pages =	{79--111},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-95977-003-3},
  ISSN =	{1868-8977},
  year =	{2017},
  volume =	{7},
  editor =	{Krokhin, Andrei and Zivny, Stanislav},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol7.15301.79},
  URN =		{urn:nbn:de:0030-drops-69580},
  doi =		{10.4230/DFU.Vol7.15301.79},
  annote =	{Keywords: Constraint satisfaction problems, Numerical domains}
}
Document
DOI: 10.4230/DFU.Vol7.15301.113
Hybrid Tractable Classes of Constraint Problems

Authors: Martin C. Cooper and Stanislav Zivny

Abstract
We present a survey of complexity results for hybrid constraint satisfaction problems (CSPs) and valued constraint satisfaction problems (VCSPs). These are classes of (V)CSPs defined by restrictions that are not exclusively language-based or structure-based.
Cite as

Martin C. Cooper and Stanislav Zivny. Hybrid Tractable Classes of Constraint Problems. In The Constraint Satisfaction Problem: Complexity and Approximability. Dagstuhl Follow-Ups, Volume 7, pp. 113-135, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InCollection{cooper_et_al:DFU.Vol7.15301.113,
  author =	{Cooper, Martin C. and Zivny, Stanislav},
  title =	{{Hybrid Tractable Classes of Constraint Problems}},
  booktitle =	{The Constraint Satisfaction Problem: Complexity and Approximability},
  pages =	{113--135},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-95977-003-3},
  ISSN =	{1868-8977},
  year =	{2017},
  volume =	{7},
  editor =	{Krokhin, Andrei and Zivny, Stanislav},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol7.15301.113},
  URN =		{urn:nbn:de:0030-drops-69616},
  doi =		{10.4230/DFU.Vol7.15301.113},
  annote =	{Keywords: Constraint satisfaction problems, Optimisation, Tractability}
}
Document
DOI: 10.4230/DFU.Vol7.15301.137
Backdoor Sets for CSP

Authors: Serge Gaspers, Sebastian Ordyniak, and Stefan Szeider

Abstract
A backdoor set of a CSP instance is a set of variables whose instantiation moves the instance into a fixed class of tractable instances (an island of tractability). An interesting algorithmic task is to find a small backdoor set efficiently: once it is found we can solve the instance by solving a number of tractable instances. Parameterized complexity provides an adequate framework for studying and solving this algorithmic task, where the size of the backdoor set provides a natural parameter. In this survey we present some recent parameterized complexity results on CSP backdoor sets, focusing on backdoor sets into islands of tractability that are defined in terms of constraint languages.
Cite as

Serge Gaspers, Sebastian Ordyniak, and Stefan Szeider. Backdoor Sets for CSP. In The Constraint Satisfaction Problem: Complexity and Approximability. Dagstuhl Follow-Ups, Volume 7, pp. 137-157, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InCollection{gaspers_et_al:DFU.Vol7.15301.137,
  author =	{Gaspers, Serge and Ordyniak, Sebastian and Szeider, Stefan},
  title =	{{Backdoor Sets for CSP}},
  booktitle =	{The Constraint Satisfaction Problem: Complexity and Approximability},
  pages =	{137--157},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-95977-003-3},
  ISSN =	{1868-8977},
  year =	{2017},
  volume =	{7},
  editor =	{Krokhin, Andrei and Zivny, Stanislav},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol7.15301.137},
  URN =		{urn:nbn:de:0030-drops-69626},
  doi =		{10.4230/DFU.Vol7.15301.137},
  annote =	{Keywords: Backdoor sets, Constraint satisfaction problems, Parameterized complexity, Polymorphisms}
}
Document
DOI: 10.4230/DFU.Vol7.15301.159
On the Complexity of Holant Problems

Authors: Heng Guo and Pinyan Lu

Abstract
In this article we survey recent developments on the complexity of Holant problems. We discuss three different aspects of Holant problems: the decision version, exact counting, and approximate counting.
Cite as

Heng Guo and Pinyan Lu. On the Complexity of Holant Problems. In The Constraint Satisfaction Problem: Complexity and Approximability. Dagstuhl Follow-Ups, Volume 7, pp. 159-177, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InCollection{guo_et_al:DFU.Vol7.15301.159,
  author =	{Guo, Heng and Lu, Pinyan},
  title =	{{On the Complexity of Holant Problems}},
  booktitle =	{The Constraint Satisfaction Problem: Complexity and Approximability},
  pages =	{159--177},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-95977-003-3},
  ISSN =	{1868-8977},
  year =	{2017},
  volume =	{7},
  editor =	{Krokhin, Andrei and Zivny, Stanislav},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol7.15301.159},
  URN =		{urn:nbn:de:0030-drops-69630},
  doi =		{10.4230/DFU.Vol7.15301.159},
  annote =	{Keywords: Computational complexity, Counting complexity, Dichotomy theorems, Approximate counting, Holant problems}
}
Document
DOI: 10.4230/DFU.Vol7.15301.179
Parameterized Constraint Satisfaction Problems: a Survey

Authors: Gregory Gutin and Anders Yeo

Abstract
We consider constraint satisfaction problems parameterized above or below guaranteed values. One example is MaxSat parameterized above m/2: given a CNF formula F with m clauses, decide whether there is a truth assignment that satisfies at least m/2 + k clauses, where k is the parameter. Among other problems we deal with are MaxLin2-AA (given a system of linear equations over F_2 in which each equation has a positive integral weight, decide whether there is an assignment to the variables that satisfies equations of total weight at least W/2+k, where W is the total weight of all equations), Max-r-Lin2-AA (the same as MaxLin2-AA, but each equation has at most r variables, where r is a constant) and Max-r-Sat-AA (given a CNF formula F with m clauses in which each clause has at most r literals, decide whether there is a truth assignment satisfying at least sum_{i=1}^m (1-2^{r_i})+k clauses, where k is the parameter, r_i is the number of literals in clause i, and r is a constant). We also consider Max-r-CSP-AA, a natural generalization of both Max-r-Lin2-AA and Max-r-Sat-AA, order (or, permutation) constraint satisfaction problems parameterized above the average value and some other problems related to MaxSat. We discuss results, both polynomial kernels and parameterized algorithms, obtained for the problems mainly in the last few years as well as some open questions.
Cite as

Gregory Gutin and Anders Yeo. Parameterized Constraint Satisfaction Problems: a Survey. In The Constraint Satisfaction Problem: Complexity and Approximability. Dagstuhl Follow-Ups, Volume 7, pp. 179-203, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InCollection{gutin_et_al:DFU.Vol7.15301.179,
  author =	{Gutin, Gregory and Yeo, Anders},
  title =	{{Parameterized Constraint Satisfaction Problems: a Survey}},
  booktitle =	{The Constraint Satisfaction Problem: Complexity and Approximability},
  pages =	{179--203},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-95977-003-3},
  ISSN =	{1868-8977},
  year =	{2017},
  volume =	{7},
  editor =	{Krokhin, Andrei and Zivny, Stanislav},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol7.15301.179},
  URN =		{urn:nbn:de:0030-drops-69641},
  doi =		{10.4230/DFU.Vol7.15301.179},
  annote =	{Keywords: Constraint satisfaction problems, Fixed-parameter tractability}
}
Document
DOI: 10.4230/DFU.Vol7.15301.205
Counting Constraint Satisfaction Problems

Authors: Mark Jerrum

Abstract
This chapter surveys counting Constraint Satisfaction Problems (counting CSPs, or #CSPs) and their computational complexity. It aims to provide an introduction to the main concepts and techniques, and present a representative selection of results and open problems. It does not cover holants, which are the subject of a separate chapter.
Cite as

Mark Jerrum. Counting Constraint Satisfaction Problems. In The Constraint Satisfaction Problem: Complexity and Approximability. Dagstuhl Follow-Ups, Volume 7, pp. 205-231, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InCollection{jerrum:DFU.Vol7.15301.205,
  author =	{Jerrum, Mark},
  title =	{{Counting Constraint Satisfaction Problems}},
  booktitle =	{The Constraint Satisfaction Problem: Complexity and Approximability},
  pages =	{205--231},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-95977-003-3},
  ISSN =	{1868-8977},
  year =	{2017},
  volume =	{7},
  editor =	{Krokhin, Andrei and Zivny, Stanislav},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol7.15301.205},
  URN =		{urn:nbn:de:0030-drops-69655},
  doi =		{10.4230/DFU.Vol7.15301.205},
  annote =	{Keywords: Approximation algorithms, Computational complexity, Constraint satisfaction problems, Counting problems, Partition functions}
}
Document
DOI: 10.4230/DFU.Vol7.15301.233
The Complexity of Valued CSPs

Authors: Andrei Krokhin and Stanislav Zivny

Abstract
We survey recent results on the broad family of problems that can be cast as valued constraint satisfaction problems (VCSPs). We discuss general methods for analysing the complexity of such problems, give examples of tractable cases, and identify general features of the complexity landscape.
Cite as

Andrei Krokhin and Stanislav Zivny. The Complexity of Valued CSPs. In The Constraint Satisfaction Problem: Complexity and Approximability. Dagstuhl Follow-Ups, Volume 7, pp. 233-266, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InCollection{krokhin_et_al:DFU.Vol7.15301.233,
  author =	{Krokhin, Andrei and Zivny, Stanislav},
  title =	{{The Complexity of Valued CSPs}},
  booktitle =	{The Constraint Satisfaction Problem: Complexity and Approximability},
  pages =	{233--266},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-95977-003-3},
  ISSN =	{1868-8977},
  year =	{2017},
  volume =	{7},
  editor =	{Krokhin, Andrei and Zivny, Stanislav},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol7.15301.233},
  URN =		{urn:nbn:de:0030-drops-69665},
  doi =		{10.4230/DFU.Vol7.15301.233},
  annote =	{Keywords: Constraint satisfaction problems, Optimisation, Tractability}
}
Document
DOI: 10.4230/DFU.Vol7.15301.267
Algebra and the Complexity of Digraph CSPs: a Survey

Authors: Benoit Larose

Abstract
We present a brief survey of some of the key results on the interplay between algebraic and graph-theoretic methods in the study of the complexity of digraph-based constraint satisfaction problems.
Cite as

Benoit Larose. Algebra and the Complexity of Digraph CSPs: a Survey. In The Constraint Satisfaction Problem: Complexity and Approximability. Dagstuhl Follow-Ups, Volume 7, pp. 267-285, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InCollection{larose:DFU.Vol7.15301.267,
  author =	{Larose, Benoit},
  title =	{{Algebra and the Complexity of Digraph CSPs: a Survey}},
  booktitle =	{The Constraint Satisfaction Problem: Complexity and Approximability},
  pages =	{267--285},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-95977-003-3},
  ISSN =	{1868-8977},
  year =	{2017},
  volume =	{7},
  editor =	{Krokhin, Andrei and Zivny, Stanislav},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol7.15301.267},
  URN =		{urn:nbn:de:0030-drops-69677},
  doi =		{10.4230/DFU.Vol7.15301.267},
  annote =	{Keywords: Constraint satisfaction problems, Polymorphisms, Digraphs}
}
Document
DOI: 10.4230/DFU.Vol7.15301.287
Approximation Algorithms for CSPs

Authors: Konstantin Makarychev and Yury Makarychev

Abstract
In this survey, we offer an overview of approximation algorithms for constraint satisfaction problems (CSPs) - we describe main results and discuss various techniques used for solving CSPs.
Cite as

Konstantin Makarychev and Yury Makarychev. Approximation Algorithms for CSPs. In The Constraint Satisfaction Problem: Complexity and Approximability. Dagstuhl Follow-Ups, Volume 7, pp. 287-325, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InCollection{makarychev_et_al:DFU.Vol7.15301.287,
  author =	{Makarychev, Konstantin and Makarychev, Yury},
  title =	{{Approximation Algorithms for CSPs}},
  booktitle =	{The Constraint Satisfaction Problem: Complexity and Approximability},
  pages =	{287--325},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-95977-003-3},
  ISSN =	{1868-8977},
  year =	{2017},
  volume =	{7},
  editor =	{Krokhin, Andrei and Zivny, Stanislav},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol7.15301.287},
  URN =		{urn:nbn:de:0030-drops-69685},
  doi =		{10.4230/DFU.Vol7.15301.287},
  annote =	{Keywords: Constraint satisfaction problems, Approximation algorithms, SDP, UGC}
}
Document
DOI: 10.4230/DFU.Vol7.15301.327
Quantified Constraints in Twenty Seventeen

Authors: Barnaby Martin

Abstract
I present a survey of recent advances in the algorithmic and computational complexity theory of non-Boolean Quantified Constraint Satisfaction Problems, incorporating some more modern research directions.
Cite as

Barnaby Martin. Quantified Constraints in Twenty Seventeen. In The Constraint Satisfaction Problem: Complexity and Approximability. Dagstuhl Follow-Ups, Volume 7, pp. 327-346, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InCollection{martin:DFU.Vol7.15301.327,
  author =	{Martin, Barnaby},
  title =	{{Quantified Constraints in Twenty Seventeen}},
  booktitle =	{The Constraint Satisfaction Problem: Complexity and Approximability},
  pages =	{327--346},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-95977-003-3},
  ISSN =	{1868-8977},
  year =	{2017},
  volume =	{7},
  editor =	{Krokhin, Andrei and Zivny, Stanislav},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol7.15301.327},
  URN =		{urn:nbn:de:0030-drops-69699},
  doi =		{10.4230/DFU.Vol7.15301.327},
  annote =	{Keywords: Quantified constraints, Constraint satisfaction problems, Computational complexity, Parameterized complexity, Universal algebra}
}

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