Search results for " Data Structures"

showing 10 items of 80 documents

Improving table compression with combinatorial optimization

2002

We study the problem of compressing massive tables within the partition-training paradigm introduced by Buchsbaum et al. [SODA'00], in which a table is partitioned by an off-line training procedure into disjoint intervals of columns, each of which is compressed separately by a standard, on-line compressor like gzip. We provide a new theory that unifies previous experimental observations on partitioning and heuristic observations on column permutation, all of which are used to improve compression rates. Based on the theory, we devise the first on-line training algorithms for table compression, which can be applied to individual files, not just continuously operating sources; and also a new, …

FOS: Computer and information sciencesComputer scienceHeuristic (computer science)E.4G.2.1Data_CODINGANDINFORMATIONTHEORYDisjoint setsTravelling salesman problemPermutationArtificial IntelligenceCompression (functional analysis)Computer Science - Data Structures and AlgorithmsH.1.8H.2.7Data Structures and Algorithms (cs.DS)E.4; F.1.3; F.2.2; G.2.1; H.1.1; H.1.8; H.2.7H.1.1Dynamic programmingHardware and ArchitectureControl and Systems EngineeringCombinatorial optimizationTable (database)F.1.3F.2.2AlgorithmSoftwareInformation SystemsJournal of the ACM
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Some complexity and approximation results for coupled-tasks scheduling problem according to topology

2016

International audience; We consider the makespan minimization coupled-tasks problem in presence of compatibility constraints with a specified topology. In particular, we focus on stretched coupled-tasks, i.e. coupled-tasks having the same sub-tasks execution time and idle time duration. We study several problems in framework of classic complexity and approximation for which the compatibility graph is bipartite (star, chain,. . .). In such a context, we design some efficient polynomial-time approximation algorithms for an intractable scheduling problem according to some parameters.

FOS: Computer and information sciencesCoupled-task scheduling model[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Computer science0211 other engineering and technologies0102 computer and information sciences02 engineering and technologyManagement Science and Operations ResearchComputational Complexity (cs.CC)Topology01 natural sciencesExecution timeTheoretical Computer ScienceComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)021103 operations researchJob shop schedulingPolynomial-time approximation algorithmApproximation algorithmCompatibility graphComplexityIdle timeComputer Science ApplicationsComputer Science - Computational Complexity[ INFO.INFO-CC ] Computer Science [cs]/Computational Complexity [cs.CC]010201 computation theory & mathematicsCompatibility (mechanics)Bipartite graphMinification
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Algorithms for Computing Abelian Periods of Words

2012

Constantinescu and Ilie (Bulletin EATCS 89, 167--170, 2006) introduced the notion of an \emph{Abelian period} of a word. A word of length $n$ over an alphabet of size $\sigma$ can have $\Theta(n^{2})$ distinct Abelian periods. The Brute-Force algorithm computes all the Abelian periods of a word in time $O(n^2 \times \sigma)$ using $O(n \times \sigma)$ space. We present an off-line algorithm based on a $\sel$ function having the same worst-case theoretical complexity as the Brute-Force one, but outperforming it in practice. We then present on-line algorithms that also enable to compute all the Abelian periods of all the prefixes of $w$.

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Abelian repetitionElementary abelian groupRank of an abelian groupCombinatoricsComputer Science - Data Structures and AlgorithmsFOS: MathematicsDiscrete Mathematics and CombinatoricsMathematics - CombinatoricsData Structures and Algorithms (cs.DS)Abelian groupOnline algorithmMathematicsArithmetic of abelian varietiesDiscrete mathematicsCombinatorics on wordsApplied MathematicsAbelian periodText algorithmWeak repetitionPrefixCombinatorics on wordsDesign of algorithmCombinatorics (math.CO)AlgorithmWord (computer architecture)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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On Combinatorial Generation of Prefix Normal Words

2014

A prefix normal word is a binary word with the property that no substring has more 1s than the prefix of the same length. This class of words is important in the context of binary jumbled pattern matching. In this paper we present an efficient algorithm for exhaustively listing the prefix normal words with a fixed length. The algorithm is based on the fact that the language of prefix normal words is a bubble language, a class of binary languages with the property that, for any word w in the language, exchanging the first occurrence of 01 by 10 in w results in another word in the language. We prove that each prefix normal word is produced in O(n) amortized time, and conjecture, based on expe…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Computer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Data_CODINGANDINFORMATIONTHEORYComputer Science - Discrete Mathematics
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Pattern detection in ordered graphs

2023

A popular way to define or characterize graph classes is via forbidden subgraphs or forbidden minors. These characterizations play a key role in graph theory, but they rarely lead to efficient algorithms to recognize these classes. In contrast, many essential graph classes can be recognized efficiently thanks to characterizations of the following form: there must exist an ordering of the vertices such that some ordered pattern does not appear, where a pattern is basically an ordered subgraph. These pattern characterizations have been studied for decades, but there have been recent efforts to better understand them systematically. In this paper, we focus on a simple problem at the core of th…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Computer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)[INFO] Computer Science [cs]Computer Science - Discrete Mathematics
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Algorithms for Anti-Powers in Strings

2018

Abstract A string S [ 1 , n ] is a power (or tandem repeat) of order k and period n / k if it can be decomposed into k consecutive equal-length blocks of letters. Powers and periods are fundamental to string processing, and algorithms for their efficient computation have wide application and are heavily studied. Recently, Fici et al. (Proc. ICALP 2016) defined an anti-power of order k to be a string composed of k pairwise-distinct blocks of the same length ( n / k , called anti-period). Anti-powers are a natural converse to powers, and are objects of combinatorial interest in their own right. In this paper we initiate the algorithmic study of anti-powers. Given a string S, we describe an op…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)ComputationComputer Science - Formal Languages and Automata Theory0102 computer and information sciencesString processingInformation System01 natural sciencesUpper and lower boundsAnti-powersTheoretical Computer ScienceLemma (logic)ConverseComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)0101 mathematicsMathematicsCombinatorics on wordSignal processingCombinatorics on wordsComputer Science Applications1707 Computer Vision and Pattern RecognitionAnti-power16. Peace & justice113 Computer and information sciencesSubstringComputer Science Applications010101 applied mathematicsAlgorithmCombinatorics on words010201 computation theory & mathematicsSignal ProcessingAlgorithmAlgorithmsInformation SystemsComputer Science - Discrete Mathematics
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Normal, Abby Normal, Prefix Normal

2014

A prefix normal word is a binary word with the property that no substring has more 1s than the prefix of the same length. This class of words is important in the context of binary jumbled pattern matching. In this paper we present results about the number $pnw(n)$ of prefix normal words of length $n$, showing that $pnw(n) =\Omega\left(2^{n - c\sqrt{n\ln n}}\right)$ for some $c$ and $pnw(n) = O \left(\frac{2^n (\ln n)^2}{n}\right)$. We introduce efficient algorithms for testing the prefix normal property and a "mechanical algorithm" for computing prefix normal forms. We also include games which can be played with prefix normal words. In these games Alice wishes to stay normal but Bob wants t…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)Computer Science - Data Structures and AlgorithmsFOS: MathematicsMathematics - CombinatoricsData Structures and Algorithms (cs.DS)Computer Science - Formal Languages and Automata TheoryCombinatorics (math.CO)Data_CODINGANDINFORMATIONTHEORYComputer Science - Discrete Mathematics
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A note on easy and efficient computation of full abelian periods of a word

2016

Constantinescu and Ilie (Bulletin of the EATCS 89, 167-170, 2006) introduced the idea of an Abelian period with head and tail of a finite word. An Abelian period is called full if both the head and the tail are empty. We present a simple and easy-to-implement $O(n\log\log n)$-time algorithm for computing all the full Abelian periods of a word of length $n$ over a constant-size alphabet. Experiments show that our algorithm significantly outperforms the $O(n)$ algorithm proposed by Kociumaka et al. (Proc. of STACS, 245-256, 2013) for the same problem.

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]Elementary abelian groupComputer Science - Formal Languages and Automata Theory0102 computer and information sciences02 engineering and technology[INFO] Computer Science [cs]01 natural sciencesRank of an abelian groupCombinatoricsSimple (abstract algebra)Computer Science - Data Structures and Algorithms0202 electrical engineering electronic engineering information engineeringDiscrete Mathematics and CombinatoricsData Structures and Algorithms (cs.DS)[INFO]Computer Science [cs]Abelian groupHidden subgroup problemDiscrete Mathematics and CombinatoricComputingMilieux_MISCELLANEOUSMathematicsCombinatorics on wordDiscrete mathematicsApplied Mathematics020206 networking & telecommunicationsAbelian periodText algorithmWeak repetitionFree abelian groupAbelian powerCombinatorics on wordsDesign of algorithm010201 computation theory & mathematicsWord (computer architecture)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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A subquadratic algorithm for minimum palindromic factorization

2014

We give an $\mathcal{O}(n \log n)$-time, $\mathcal{O}(n)$-space algorithm for factoring a string into the minimum number of palindromic substrings. That is, given a string $S [1..n]$, in $\mathcal{O}(n \log n)$ time our algorithm returns the minimum number of palindromes $S_1,\ldots, S_\ell$ such that $S = S_1 \cdots S_\ell$. We also show that the time complexity is $\mathcal{O}(n)$ on average and $\Omega(n\log n)$ in the worst case. The last result is based on a characterization of the palindromic structure of Zimin words.

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)PalindromeCharacterization (mathematics)Binary logarithmOmegaSubstringTheoretical Computer ScienceString algorithmComputational Theory and MathematicsFactorizationComputer Science - Data Structures and AlgorithmsC++ string handlingPalindromeDiscrete Mathematics and CombinatoricsData Structures and Algorithms (cs.DS)FactorizationTime complexityAlgorithmMathematicsComputer Science - Discrete Mathematics
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Online Computation of Abelian Runs

2015

Given a word $w$ and a Parikh vector $\mathcal{P}$, an abelian run of period $\mathcal{P}$ in $w$ is a maximal occurrence of a substring of $w$ having abelian period $\mathcal{P}$. We give an algorithm that finds all the abelian runs of period $\mathcal{P}$ in a word of length $n$ in time $O(n\times |\mathcal{P}|)$ and space $O(\sigma+|\mathcal{P}|)$.

FOS: Computer and information sciencesFormal Languages and Automata Theory (cs.FL)Abelian run[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]Computer Science - Formal Languages and Automata Theory0102 computer and information sciences02 engineering and technology[INFO] Computer Science [cs]01 natural sciencesOnline computationTheoretical Computer ScienceCombinatoricsComputer Science - Data Structures and Algorithms0202 electrical engineering electronic engineering information engineeringData Structures and Algorithms (cs.DS)[INFO]Computer Science [cs]Abelian groupComputingMilieux_MISCELLANEOUSMathematicsCombinatorics on wordDiscrete mathematicsComputer Science (all)020206 networking & telecommunicationsAbelian periodText algorithm16. Peace & justiceSubstringCombinatorics on words010201 computation theory & mathematicsWord (group theory)Computer Science::Formal Languages and Automata Theory
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