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There has been great interest in identifying tractable subclasses of NP complete problems and designing efficient algorithms for these tractable classes. Constraint satisfaction and Bayesian network inference are two examples of such…

人工智能 · 计算机科学 2012-12-12 Yong Gao

We propose joinwidth, a new complexity parameter for the Constraint Satisfaction Problem (CSP). The definition of joinwidth is based on the arrangement of basic operations on relations (joins, projections, and pruning), which inherently…

数据结构与算法 · 计算机科学 2019-07-30 Robert Ganian , Sebastian Ordyniak , Stefan Szeider

Constraint Satisfaction Problems (CSPs) play a central role in many applications in Artificial Intelligence and Operations Research. In general, solving CSPs is NP-complete. The structure of CSPs is best described by hypergraphs. Therefore,…

人工智能 · 计算机科学 2021-01-01 Georg Gottlob , Matthias Lanzinger , Davide Mario Longo , Cem Okulmus , Reinhard Pichler

Constraint Satisfaction Problem (CSP) is a framework for modeling and solving a variety of real-world problems. Once the problem is expressed as a finite set of constraints, the goal is to find the variables' values satisfying them. Even…

离散数学 · 计算机科学 2019-05-23 Rachid Oucheikh , Ismail Berrada , Outman El Hichami

Hypergraph width measures are a class of hypergraph invariants important in studying the complexity of constraint satisfaction problems (CSPs). We present a general exact exponential algorithm for a large variety of these measures. A…

计算复杂性 · 计算机科学 2011-06-24 Lukas Moll , Siamak Tazari , Marc Thurley

The algebraic approach to the Constraint Satisfaction Problem (CSP) uses high order symmetries of relational structures -- polymorphisms -- to study the complexity of the CSP. In this paper we further develop one of the methods the…

计算机科学中的逻辑 · 计算机科学 2020-07-21 Andrei A. Bulatov

The constraint satisfaction problem asks to decide if a set of constraints over a relational structure $\mathcal{A}$ is satisfiable (CSP$(\mathcal{A})$). We consider CSP$(\mathcal{A} \cup \mathcal{B})$ where $\mathcal{A}$ is a structure and…

计算复杂性 · 计算机科学 2024-08-28 Peter Jonsson , Victor Lagerkvist , George Osipov

To cope with the intractability of answering Conjunctive Queries (CQs) and solving Constraint Satisfaction Problems (CSPs), several notions of hypergraph decompositions have been proposed -- giving rise to different notions of width,…

数据库 · 计算机科学 2018-11-21 Wolfgang Fischl , Georg Gottlob , Davide M. Longo , Reinhard Pichler

To cope with the intractability of answering Conjunctive Queries (CQs) and solving Constraint Satisfaction Problems (CSPs), several notions of hypergraph decompositions have been proposed -- giving rise to different notions of width,…

数据库 · 计算机科学 2020-09-04 Wolfgang Fischl , Georg Gottlob , Davide Mario Longo , Reinhard Pichler

Hypertree decompositions, as well as the more powerful generalized hypertree decompositions (GHDs), and the yet more general fractional hypertree decompositions (FHD) are hypergraph decomposition methods successfully used for answering…

数据库 · 计算机科学 2019-07-19 Wolfgang Fischl , Georg Gottlob , Reinhard Pichler

Several important decision problems on conjunctive queries (CQs) are NP-complete in general but become tractable, and actually highly parallelizable, if restricted to acyclic or nearly acyclic queries. Examples are the evaluation of Boolean…

数据库 · 计算机科学 2007-05-23 G. Gottlob , N. Leone , F. Scarcello

The algebraic dichotomy conjecture for Constraint Satisfaction Problems (CSPs) of reducts of (infinite) finitely bounded homogeneous structures states that such CSPs are polynomial-time tractable if the model-complete core of the template…

We initiate a systematic study of the computational complexity of the Constraint Satisfaction Problem (CSP) over finite structures that may contain both relations and operations. We show the close connection between this problem and a…

计算机科学中的逻辑 · 计算机科学 2021-12-02 Libor Barto , William DeMeo , Antoine Mottet

We study the complexity of constraint satisfaction problems involving global constraints, i.e., special-purpose constraints provided by a solver and represented implicitly by a parametrised algorithm. Such constraints are widely used;…

人工智能 · 计算机科学 2013-07-11 David A. Cohen , Peter G. Jeavons , Evgenij Thorstensen , Stanislav Živný

Sparse structures are frequently sought when pursuing tractability in optimization problems. They are exploited from both theoretical and computational perspectives to handle complex problems that become manageable when sparsity is present.…

离散数学 · 计算机科学 2019-03-21 Yuri Faenza , Gonzalo Muñoz , Sebastian Pokutta

The constraint satisfaction problem (CSP) is a central generic problem in computer science and artificial intelligence: it provides a common framework for many theoretical problems as well as for many real-life applications. Soft constraint…

人工智能 · 计算机科学 2011-04-25 Martin C. Cooper , Stanislav Zivny

Literature on Constraint Satisfaction exhibits the definition of several structural properties that can be possessed by CSPs, like (in)consistency, substitutability or interchangeability. Current tools for constraint solving typically…

人工智能 · 计算机科学 2014-01-16 Lucas Bordeaux , Marco Cadoli , Toni Mancini

Hypertree decompositions (HDs), as well as the more powerful generalized hypertree decompositions (GHDs), and the yet more general fractional hypertree decompositions (FHDs) are hypergraph decomposition methods successfully used for…

计算复杂性 · 计算机科学 2021-11-22 Georg Gottlob , Matthias Lanzinger , Reinhard Pichler , Igor Razgon

In the constraint satisfaction problem (CSP) corresponding to a constraint language (i.e., a set of relations) $\Gamma$, the goal is to find an assignment of values to variables so that a given set of constraints specified by relations from…

计算复杂性 · 计算机科学 2014-01-21 Andrei A. Bulatov , Dániel Marx

We study the tractability of conjunctive query answering for queries with unbounded arity. It is well known that tractability of the problem can be characterised in terms of the queries treewidth under the assumption of bounded arity. We…

数据库 · 计算机科学 2022-06-14 Matthias Lanzinger