Search results for "General Computer Science"

showing 10 items of 895 documents

Nondeterministic operations on finite relational structures

1998

Abstract This article builds on a tutorial introduction to universal algebra for language theory (Courcelle, Theoret. Comput. Sci. 163 (1996) 1–54) and extends it in two directions. First, nondeterministic operations are considered, i.e., operations which give a set of results instead of a single one. Most of their properties concerning recognizability and equational definability carry over from the ordinary case with minor modifications. Second, inductive sets of evaluations are studied in greater detail. It seems that they are handled most naturally in the framework presented here. We consider the analogues of top-down and bottom-up tree transducers. Again, most of their closure propertie…

Discrete mathematicsFinite-state machineGeneral Computer ScienceComputer scienceLogicFormal languages (recognizable and context-free sets transducers)Unbounded nondeterminismMonad (functional programming)Symbolic computationHypergraphsFirst-order logicLogical theoryDecidabilityTheoretical Computer ScienceNondeterministic algorithmAlgebraDeterministic automatonFormal languageUniversal algebraEquivalence relationTree transducersRewritingComputer Science(all)Theoretical Computer Science
researchProduct

On extremal cases of Hopcroft’s algorithm

2010

AbstractIn this paper we consider the problem of minimization of deterministic finite automata (DFA) with reference to Hopcroft’s algorithm. Hopcroft’s algorithm has several degrees of freedom, so there can exist different executions that can lead to different sequences of refinements of the set of the states up to the final partition. We find an infinite family of binary automata for which such a process is unique, whatever strategy is chosen. Some recent papers (cf. Berstel and Carton (2004) [3], Castiglione et al. (2008) [6] and Berstel et al. (2009) [1]) have been devoted to find families of automata for which Hopcroft’s algorithm has its worst execution time. They are unary automata as…

Discrete mathematicsFinite-state machineGeneral Computer ScienceUnary operationWord treesStandard treesAutomatonTheoretical Computer ScienceCombinatoricsDeterministic finite automatonDFA minimizationDeterministic automatonHopcroft’s minimization algorithmTree automatonDeterministic finite state automataTime complexityAlgorithmComputer Science::Formal Languages and Automata TheoryMathematicsComputer Science(all)Theoretical Computer Science
researchProduct

On block pumpable languages

2016

Ehrenfeucht, Parikh and Rozenberg gave an interesting characterisation of the regular languages called the block pumping property. When requiring this property only with respect to members of the language but not with respect to nonmembers, one gets the notion of block pumpable languages. It is shown that these block pumpable are a more general concept than regular languages and that they are an interesting notion of their own: they are closed under intersection, union and homomorphism by transducers; they admit multiple pumping; they have either polynomial or exponential growth.

Discrete mathematicsGeneral Computer ScienceAbstract family of languagesComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)0102 computer and information sciences02 engineering and technology01 natural sciencesCone (formal languages)Pumping lemma for regular languagesTheoretical Computer ScienceCombinatoricsRegular languageIntersection010201 computation theory & mathematicsBlock (programming)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingHomomorphismPumping lemma for context-free languagesComputer Science::Formal Languages and Automata TheoryMathematicsTheoretical Computer Science
researchProduct

Algebraic Structures of Rough Sets in Representative Approximation Spaces

2003

Abstract In this paper a generalized notion of an approximation space is considered. By an approximation space we mean an ordered pair (U, C ), where U is a finite nonempty set and C is a covering of U. According to connections between rough sets and concepts we define two types of approximation operations. Hence we obtain two families of rough sets. We show that these families form lattices in special types of representative approximation spaces. The operations on rough sets defined in the above lattices are analogous to classical operations on sets.

Discrete mathematicsGeneral Computer ScienceAlgebraic structureRough setsSpace (mathematics)representative approximation spaceTheoretical Computer ScienceSet (abstract data type)Ordered pairalgebra of rough sets.Rough setapproximation operationsMathematicsComputer Science(all)Electronic Notes in Theoretical Computer Science
researchProduct

On Coloring Unit Disk Graphs

1998

In this paper the coloring problem for unit disk (UD) graphs is considered. UD graphs are the intersection graphs of equal-sized disks in the plane. Colorings of UD graphs arise in the study of channel assignment problems in broadcast networks. Improving on a result of Clark et al. [2] it is shown that the coloring problem for UD graphs remains NP-complete for any fixed number of colors k≥ 3 . Furthermore, a new 3-approximation algorithm for the problem is presented which is based on network flow and matching techniques.

Discrete mathematicsGeneral Computer ScienceApplied MathematicsAstrophysics::Cosmology and Extragalactic AstrophysicsComplete coloring1-planar graphComputer Science ApplicationsBrooks' theoremCombinatoricsGreedy coloringIndifference graphEdge coloringChordal graphHigh Energy Physics::ExperimentGraph coloringMathematicsAlgorithmica
researchProduct

Branch and bound for the cutwidth minimization problem

2013

The cutwidth minimization problem consists of finding a linear arrangement of the vertices of a graph where the maximum number of cuts between the edges of the graph and a line separating consecutive vertices is minimized. We first review previous approaches for special classes of graphs, followed by lower bounds and then a linear integer formulation for the general problem. We then propose a branch-and-bound algorithm based on different lower bounds on the cutwidth of partial solutions. Additionally, we introduce a Greedy Randomized Adaptive Search Procedure (GRASP) heuristic to obtain good initial solutions. The combination of the branch-and-bound and GRASP methods results in optimal solu…

Discrete mathematicsGeneral Computer ScienceBranch and boundGeneral problemMinimization problemGRASPCPU timeManagement Science and Operations ResearchUpper and lower boundsCombinatoricsModeling and SimulationInteger programmingGreedy randomized adaptive search procedureMathematicsComputers & Operations Research
researchProduct

Balancing and clustering of words in the Burrows–Wheeler transform

2011

AbstractCompression algorithms based on Burrows–Wheeler transform (BWT) take advantage of the fact that the word output of BWT shows a local similarity and then turns out to be highly compressible. The aim of the present paper is to study such “clustering effect” by using notions and methods from Combinatorics on Words.The notion of balance of a word plays a central role in our investigation. Empirical observations suggest that balance is actually the combinatorial property of input word that ensure optimal BWT compression. Moreover, it is reasonable to assume that the more balanced the input word is, the more local similarity we have after BWT (and therefore the better the compression is).…

Discrete mathematicsGeneral Computer ScienceBurrows–Wheeler transformCombinatorics on wordsPalindromeComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Binary alphabetTheoretical Computer ScienceCombinatorics on wordsData compressionEntropy (information theory)Combinatorics on words; Burrows–Wheeler transform; Data compressionArithmeticCluster analysisEmpirical evidenceBurrows–Wheeler transformComputer Science::Formal Languages and Automata TheoryMathematicsData compressionComputer Science(all)
researchProduct

Varieties and Covarieties of Languages (Extended Abstract)

2013

AbstractBecause of the isomorphism (X×A)→X≅X→(A→X), the transition structure of a deterministic automaton with state set X and with inputs from an alphabet A can be viewed both as an algebra and as a coalgebra. This algebra-coalgebra duality goes back to Arbib and Manes, who formulated it as a duality between reachability and observability, and is ultimately based on Kalmanʼs duality in systems theory between controllability and observability. Recently, it was used to give a new proof of Brzozowskiʼs minimization algorithm for deterministic automata. Here we will use the algebra-coalgebra duality of automata as a common perspective for the study of both varieties and covarieties, which are …

Discrete mathematicsGeneral Computer ScienceCoalgebraData ScienceStructure (category theory)Duality (optimization)equationalgebraAutomataTheoretical Computer ScienceAlgebravarietyReachabilityDeterministic automatonComputingMethodologies_DOCUMENTANDTEXTPROCESSINGcoequationObservabilityIsomorphismcovarietyVariety (universal algebra)coalgebraComputer Science::Formal Languages and Automata TheoryComputer Science(all)MathematicsElectronic Notes in Theoretical Computer Science
researchProduct

If P≠NP then some strongly noninvertible functions are invertible

2006

AbstractRabi, Rivest, and Sherman alter the standard notion of noninvertibility to a new notion they call strong noninvertibility, and show—via explicit cryptographic protocols for secret-key agreement (Rabi and Sherman attribute this protocol to Rivest and Sherman) and digital signatures (Rabi and Sherman)—that strongly noninvertible functions are very useful components in protocol design. Their definition of strong noninvertibility has a small twist (“respecting the argument given”) that is needed to ensure cryptographic usefulness. In this paper, we show that this small twist has a consequence: unless P=NP, some strongly noninvertible functions are invertible.

Discrete mathematicsGeneral Computer ScienceComputational complexity theorybusiness.industryP versus NP problemOne-way functionsCryptographyOne-way functionCryptographic protocolTheoretical Computer Sciencelaw.inventionComputational complexityInvertible matrixDigital signaturelawAssociativityCryptographyStrong noninvertibilitybusinessAssociative propertyMathematicsTheoretical Computer Science
researchProduct

Optimization procedures for the bipartite unconstrained 0-1 quadratic programming problem

2014

The bipartite unconstrained 0-1 quadratic programming problem (BQP) is a difficult combinatorial problem defined on a complete graph that consists of selecting a subgraph that maximizes the sum of the weights associated with the chosen vertices and the edges that connect them. The problem has appeared under several different names in the literature, including maximum weight induced subgraph, maximum weight biclique, matrix factorization and maximum cut on bipartite graphs. There are only two unpublished works (technical reports) where heuristic approaches are tested on BQP instances. Our goal is to combine straightforward search elements to balance diversification and intensification in bot…

Discrete mathematicsGeneral Computer ScienceIterated local searchMaximum cutInduced subgraphManagement Science and Operations ResearchComplete bipartite graphCombinatoricsBQPModeling and SimulationBipartite graphBeam searchQuadratic programmingMathematicsofComputing_DISCRETEMATHEMATICSMathematicsComputers & Operations Research
researchProduct