Loading [MathJax]/extensions/tex2jax.js

Computational complexity of constraint satisfaction

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autorschaft

Details

OriginalspracheEnglisch
Titel des SammelwerksComputation and Logic in the Real World - Third Conference on Computability in Europe, CiE 2007, Proceedings
Seiten748-757
Seitenumfang10
PublikationsstatusVeröffentlicht - 2007
Veranstaltung3rd Conference on Computability in Europe, CiE 2007 - Siena, Italien
Dauer: 18 Juni 200723 Juni 2007

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band4497 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Abstract

The input to a constraint satisfaction problem (CSP) consists of a set of variables, each with a domain, and constraints between these variables formulated by relations over the appropriate domains; the question is if there is an assignment of values to the variables that satisfies all constraints. Different algorithmic tasks for CSPs (checking satisfiability, counting the number of solutions, enumerating all solutions) can be used to model many problems in areas such as computational logic, artificial intelligence, circuit design, etc. We will survey results on the complexity of these computational tasks as a function of properties of the allowed constraint relations. Particular attention is paid to the special case of Boolean constraint relations.

ASJC Scopus Sachgebiete

Zitieren

Computational complexity of constraint satisfaction. / Vollmer, Heribert.
Computation and Logic in the Real World - Third Conference on Computability in Europe, CiE 2007, Proceedings. 2007. S. 748-757 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 4497 LNCS).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Vollmer, H 2007, Computational complexity of constraint satisfaction. in Computation and Logic in the Real World - Third Conference on Computability in Europe, CiE 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 4497 LNCS, S. 748-757, 3rd Conference on Computability in Europe, CiE 2007, Siena, Italien, 18 Juni 2007. https://doi.org/10.1007/978-3-540-73001-9_80
Vollmer, H. (2007). Computational complexity of constraint satisfaction. In Computation and Logic in the Real World - Third Conference on Computability in Europe, CiE 2007, Proceedings (S. 748-757). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 4497 LNCS). https://doi.org/10.1007/978-3-540-73001-9_80
Vollmer H. Computational complexity of constraint satisfaction. in Computation and Logic in the Real World - Third Conference on Computability in Europe, CiE 2007, Proceedings. 2007. S. 748-757. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-73001-9_80
Vollmer, Heribert. / Computational complexity of constraint satisfaction. Computation and Logic in the Real World - Third Conference on Computability in Europe, CiE 2007, Proceedings. 2007. S. 748-757 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Download
@inproceedings{963e6505d5f1431d83e1498040eb9bf9,
title = "Computational complexity of constraint satisfaction",
abstract = "The input to a constraint satisfaction problem (CSP) consists of a set of variables, each with a domain, and constraints between these variables formulated by relations over the appropriate domains; the question is if there is an assignment of values to the variables that satisfies all constraints. Different algorithmic tasks for CSPs (checking satisfiability, counting the number of solutions, enumerating all solutions) can be used to model many problems in areas such as computational logic, artificial intelligence, circuit design, etc. We will survey results on the complexity of these computational tasks as a function of properties of the allowed constraint relations. Particular attention is paid to the special case of Boolean constraint relations.",
keywords = "Clone, Computational complexity, Constraint satisfaction, Galois connection, Polymorphism, Satisfiability problems",
author = "Heribert Vollmer",
year = "2007",
doi = "10.1007/978-3-540-73001-9_80",
language = "English",
isbn = "9783540730002",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "748--757",
booktitle = "Computation and Logic in the Real World - Third Conference on Computability in Europe, CiE 2007, Proceedings",
note = "3rd Conference on Computability in Europe, CiE 2007 ; Conference date: 18-06-2007 Through 23-06-2007",

}

Download

TY - GEN

T1 - Computational complexity of constraint satisfaction

AU - Vollmer, Heribert

PY - 2007

Y1 - 2007

N2 - The input to a constraint satisfaction problem (CSP) consists of a set of variables, each with a domain, and constraints between these variables formulated by relations over the appropriate domains; the question is if there is an assignment of values to the variables that satisfies all constraints. Different algorithmic tasks for CSPs (checking satisfiability, counting the number of solutions, enumerating all solutions) can be used to model many problems in areas such as computational logic, artificial intelligence, circuit design, etc. We will survey results on the complexity of these computational tasks as a function of properties of the allowed constraint relations. Particular attention is paid to the special case of Boolean constraint relations.

AB - The input to a constraint satisfaction problem (CSP) consists of a set of variables, each with a domain, and constraints between these variables formulated by relations over the appropriate domains; the question is if there is an assignment of values to the variables that satisfies all constraints. Different algorithmic tasks for CSPs (checking satisfiability, counting the number of solutions, enumerating all solutions) can be used to model many problems in areas such as computational logic, artificial intelligence, circuit design, etc. We will survey results on the complexity of these computational tasks as a function of properties of the allowed constraint relations. Particular attention is paid to the special case of Boolean constraint relations.

KW - Clone

KW - Computational complexity

KW - Constraint satisfaction

KW - Galois connection

KW - Polymorphism

KW - Satisfiability problems

UR - http://www.scopus.com/inward/record.url?scp=38149018390&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-73001-9_80

DO - 10.1007/978-3-540-73001-9_80

M3 - Conference contribution

AN - SCOPUS:38149018390

SN - 9783540730002

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 748

EP - 757

BT - Computation and Logic in the Real World - Third Conference on Computability in Europe, CiE 2007, Proceedings

T2 - 3rd Conference on Computability in Europe, CiE 2007

Y2 - 18 June 2007 through 23 June 2007

ER -

Von denselben Autoren