Search results for "Computation theory"

showing 10 items of 336 documents

On the Non-uniform Redundancy in Grammatical Evolution

2016

This paper investigates the redundancy of representation in grammatical evolution (GE) for binary trees. We analyze the entire GE solution space by creating all binary genotypes of predefined length and map them to phenotype trees, which are then characterized by their size, depth and shape. We find that the GE representation is strongly non-uniformly redundant. There are huge differences in the number of genotypes that encode one particular phenotype. Thus, it is difficult for GE to solve problems where the optimal tree solutions are underrepresented. In general, the GE mapping process is biased towards short tree structures, which implies high GE performance if the optimal solution requir…

Binary treeComputer scienceBinary number0102 computer and information sciences02 engineering and technologyENCODE01 natural sciencesTree (graph theory)Tree structure010201 computation theory & mathematicsGrammatical evolution0202 electrical engineering electronic engineering information engineeringRedundancy (engineering)020201 artificial intelligence & image processingRepresentation (mathematics)Algorithm
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Efficient lower and upper bounds of the diagonal-flip distance between triangulations

2006

There remains today an open problem whether the rotation distance between binary trees or equivalently the diagonal-flip distance between triangulations can be computed in polynomial time. We present an efficient algorithm for computing lower and upper bounds of this distance between a pair of triangulations.

Binary treeOpen problem010102 general mathematicsDiagonalApproximation algorithmTriangulation (social science)0102 computer and information sciences01 natural sciencesUpper and lower boundsComputer Science ApplicationsTheoretical Computer ScienceCombinatorics010201 computation theory & mathematicsTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYSignal Processing[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]0101 mathematicsRotation (mathematics)Time complexityComputingMilieux_MISCELLANEOUSInformation SystemsMathematics
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On the decomposition of prefix codes

2017

Abstract In this paper we focus on the decomposition of rational and maximal prefix codes. We present an effective procedure that allows us to decide whether such a code is decomposable. In this case, the procedure also produces the factors of some of its decompositions. We also give partial results on the problem of deciding whether a rational maximal prefix code decomposes over a finite prefix code.

Block codePrefix codeGeneral Computer ScienceComputer science0102 computer and information sciences02 engineering and technologyPrefix grammarKraft's inequality01 natural sciencesPrefix codeTheoretical Computer SciencePrefix codes; Finite automata; Composition of codesComposition of codes0202 electrical engineering electronic engineering information engineeringDiscrete mathematicsSelf-synchronizing codeFinite-state machineSettore INF/01 - InformaticaComputer Science (all)Rational languageLinear codePrefixComposition of code010201 computation theory & mathematicsPrefix codes020201 artificial intelligence & image processingFinite automataComputer Science::Formal Languages and Automata Theory
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Variable-order reference-free variant discovery with the Burrows-Wheeler Transform

2020

Abstract Background In [Prezza et al., AMB 2019], a new reference-free and alignment-free framework for the detection of SNPs was suggested and tested. The framework, based on the Burrows-Wheeler Transform (BWT), significantly improves sensitivity and precision of previous de Bruijn graphs based tools by overcoming several of their limitations, namely: (i) the need to establish a fixed value, usually small, for the order k, (ii) the loss of important information such as k-mer coverage and adjacency of k-mers within the same read, and (iii) bad performance in repeated regions longer than k bases. The preliminary tool, however, was able to identify only SNPs and it was too slow and memory con…

Burrows–Wheeler transformComputer science[SDV]Life Sciences [q-bio]Value (computer science)SNPAssembly-free0102 computer and information scienceslcsh:Computer applications to medicine. Medical informatics01 natural sciencesBiochemistryPolymorphism Single Nucleotide03 medical and health sciencesBWTChromosome (genetic algorithm)Structural BiologyHumansSensitivity (control systems)Molecular Biologylcsh:QH301-705.5Alignment-free; Assembly-free; BWT; INDEL; SNP030304 developmental biologyAlignment-free; Assembly-free; BWT; INDEL; SNP;De Bruijn sequence0303 health sciencesSettore INF/01 - InformaticaAlignment-freeApplied MathematicsResearchGenomicsSequence Analysis DNAINDELData structureGraphComputer Science ApplicationsVariable (computer science)lcsh:Biology (General)010201 computation theory & mathematicsAdjacency listlcsh:R858-859.7Suffix[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]AlgorithmAlgorithmsBMC Bioinformatics
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Neighbor-Distinguishing k-tuple Edge-Colorings of Graphs

2009

AbstractThis paper studies proper k-tuple edge-colorings of graphs that distinguish neighboring vertices by their sets of colors. Minimum numbers of colors for such colorings are determined for cycles, complete graphs and complete bipartite graphs. A variation in which the color sets assigned to edges have to form cyclic intervals is also studied and similar results are given.

Circular coloringComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION0102 computer and information sciences[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]01 natural sciencesGraphTheoretical Computer ScienceCombinatoricsGreedy coloringIndifference graphChordal graphDiscrete Mathematics and Combinatorics0101 mathematicsFractional coloringComputingMilieux_MISCELLANEOUSComputingMethodologies_COMPUTERGRAPHICSMathematicsDiscrete mathematicsk-tuple edge-coloringClique-sum010102 general mathematics[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM]1-planar graphMetric dimension010201 computation theory & mathematicsIndependent setMaximal independent setNeighbor-distinguishingMathematicsofComputing_DISCRETEMATHEMATICSAdjacent vertex-distinguishing
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Elements of Language Theory

1988

In this chapter we shall review the mathematical and computer science background on which the presentation in this book is based. We shall discuss the elements of discrete mathematics and formal language theory, emphasizing those issues that are of importance from the point of view of context-free parsing. We shall devote a considerable part of this chapter to matters such as random access machines and computational complexity. These will be relevant later when we derive efficient algorithms for parsing theoretic problems or prove lower bounds for the complexity of these problems. In this chapter we shall also discuss a general class of formal language descriptors called “rewriting systems”…

Class (computer programming)ParsingProgramming languageComputer scienceObject language020207 software engineering0102 computer and information sciences02 engineering and technologyDecision problemcomputer.software_genre01 natural sciencesPicture languageLinguisticsPhilosophy of language010201 computation theory & mathematicsFormal language0202 electrical engineering electronic engineering information engineeringRewritingcomputer
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Debates with Small Transparent Quantum Verifiers

2014

We study a model where two opposing provers debate over the membership status of a given string in a language, trying to convince a weak verifier whose coins are visible to all. We show that the incorporation of just two qubits to an otherwise classical constant-space verifier raises the class of debatable languages from at most NP to the collection of all Turing-decidable languages (recursive languages). When the verifier is further constrained to make the correct decision with probability 1, the corresponding class goes up from the regular languages up to at least E.

Class (computer programming)Theoretical computer scienceComputer scienceProgramming languageString (computer science)0102 computer and information sciencescomputer.software_genre01 natural sciences010305 fluids & plasmasRegular language010201 computation theory & mathematicsQubit0103 physical sciencesQuantum finite automataQuantumcomputerZero errorQuantum computer
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The expressive power of the shuffle product

2010

International audience; There is an increasing interest in the shuffle product on formal languages, mainly because it is a standard tool for modeling process algebras. It still remains a mysterious operation on regular languages.Antonio Restivo proposed as a challenge to characterize the smallest class of languages containing the singletons and closed under Boolean operations, product and shuffle. This problem is still widely open, but we present some partial results on it. We also study some other smaller classes, including the smallest class containing the languages composed of a single word of length 2 which is closed under Boolean operations and shuffle by a letter (resp. shuffle by a l…

Class (set theory)Computer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]0102 computer and information sciences02 engineering and technologyStar (graph theory)01 natural sciencesExpressive powerTheoretical Computer ScienceRegular languageFormal language0202 electrical engineering electronic engineering information engineeringArithmeticAlgebraic numberComputingMilieux_MISCELLANEOUSDiscrete mathematicsComputer Science Applicationsshuffle operatorComputational Theory and Mathematics010201 computation theory & mathematicsProduct (mathematics)Formal language020201 artificial intelligence & image processingBoolean operations in computer-aided designWord (computer architecture)Information Systems
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Fast Matrix Multiplication

2015

Until a few years ago, the fastest known matrix multiplication algorithm, due to Coppersmith and Winograd (1990), ran in time O(n2.3755). Recently, a surge of activity by Stothers, Vassilevska-Williams, and Le~Gall has led to an improved algorithm running in time O(n2.3729). These algorithms are obtained by analyzing higher and higher tensor powers of a certain identity of Coppersmith and Winograd. We show that this exact approach cannot result in an algorithm with running time O(n2.3725), and identify a wide class of variants of this approach which cannot result in an algorithm with running time $O(n^{2.3078}); in particular, this approach cannot prove the conjecture that for every e > 0, …

Class (set theory)Conjecturepeople.profession0102 computer and information sciences02 engineering and technology01 natural sciencesIdentity (music)Matrix multiplicationRunning timeCombinatorics010201 computation theory & mathematicsTensor (intrinsic definition)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingCoppersmithpeopleMathematicsCoppersmith–Winograd algorithmProceedings of the forty-seventh annual ACM symposium on Theory of Computing
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On a class of languages with holonomic generating functions

2017

We define a class of languages (RCM) obtained by considering Regular languages, linear Constraints on the number of occurrences of symbols and Morphisms. The class RCM presents some interesting closure properties, and contains languages with holonomic generating functions. As a matter of fact, RCM is related to one-way 1-reversal bounded k-counter machines and also to Parikh automata on letters. Indeed, RCM is contained in L-NFCM but not in L-DFCM, and strictly includes L-CPA. We conjecture that L-DFCM subset of RCM

Class (set theory)Holonomic functionsGeneral Computer Science0102 computer and information sciences02 engineering and technologyContext free language01 natural sciencesTheoretical Computer ScienceMorphismRegular language0202 electrical engineering electronic engineering information engineeringParikh vectorMathematicsDiscrete mathematicsk-counter machineHolonomic functionConjecturek-counter machinesSettore INF/01 - InformaticaHolonomicParikh automataComputer Science (all)Context-free languageParikh vectorsAlgebraContext free languagesClosure (mathematics)010201 computation theory & mathematicsBounded function020201 artificial intelligence & image processingHolonomic functions; Parikh vectors; Context free languages; k-counter machines; Parikh automata
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