Search results for " algorithms"

showing 10 items of 612 documents

A loopless algorithm for generating the permutations of a multiset

2003

AbstractMany combinatorial structures can be constructed from simpler components. For example, a permutation can be constructed from cycles, or a Motzkin word from a Dyck word and a combination. In this paper we present a constructor for combinatorial structures, called shuffle on trajectories (defined previously in a non-combinatorial context), and we show how this constructor enables us to obtain a new loopless generating algorithm for multiset permutations from similar results for simpler objects.

Discrete mathematicsMultisetMathematics::CombinatoricsGeneral Computer ScienceMultiset permutationsLoopless algorithmStructure (category theory)Context (language use)Gray codesTheoretical Computer ScienceCombinatoricsGray codePermutationLoopless generating algorithmsShuffle combinatorial objectsBinomial coefficientWord (computer architecture)Computer Science::Formal Languages and Automata TheoryMathematicsMathematicsofComputing_DISCRETEMATHEMATICSComputer Science(all)Theoretical Computer Science
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A note on Sturmian words

2012

International audience; We describe an algorithm which, given a factor of a Sturmian word, computes the next factor of the same length in the lexicographic order in linear time. It is based on a combinatorial property of Sturmian words which is related with the Burrows-Wheeler transformation.

Discrete mathematicsProperty (philosophy)General Computer ScienceSettore INF/01 - Informatica010102 general mathematics[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Sturmian word0102 computer and information sciencesSturmian wordsLexicographical order01 natural sciencesTheoretical Computer ScienceCombinatoricsTransformation (function)010201 computation theory & mathematicsFactor (programming language)combinatorics0101 mathematicscomputerTime complexitycomputer.programming_languageMathematics
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Improved constructions of mixed state quantum automata

2009

Quantum finite automata with mixed states are proved to be super-exponentially more concise rather than quantum finite automata with pure states. It was proved earlier by A. Ambainis and R. Freivalds that quantum finite automata with pure states can have an exponentially smaller number of states than deterministic finite automata recognizing the same language. There was an unpublished ''folk theorem'' proving that quantum finite automata with mixed states are no more super-exponentially more concise than deterministic finite automata. It was not known whether the super-exponential advantage of quantum automata is really achievable. We prove that there is an infinite sequence of distinct int…

Discrete mathematicsQuantum algorithmsNested wordPermutation groupsGeneral Computer Scienceω-automatonTheoretical Computer ScienceCombinatoricsDeterministic finite automatonDFA minimizationDeterministic automatonQuantum finite automataAutomata theoryNondeterministic finite automatonFinite automataComputer Science::Formal Languages and Automata TheoryMathematicsComputer Science(all)Theoretical Computer Science
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Discrete Mathematics in Lower School Grades? Situation and Possibilities in Italy

2017

This paper presents an overview of the Italian situation in teaching discrete mathematics in primary and middle school, taking into account the national teaching guidelines and their connection with the subject. We describe research conducted with about 150 teachers, interviewed in a preliminary questionnaire. The data collected shows, for all teaching grades, interest in having more discrete mathematics in the school curriculum even if there are some difficulties in teaching it and in inserting it in the usual mathematical activities at school, mostly related to teachers’ knowledge and self-confidence about the subject. We also discuss results and future plans for a continuing research pro…

Discrete mathematicsResearch designProcess (engineering)Computational thinkingComputingMilieux_COMPUTERSANDEDUCATIONSubject (documents)Design research Computational thinking Algorithms Programming UnpluggedSettore MAT/04 - Matematiche ComplementariPsychologyCurriculum
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On the longest common factor problem

2008

The Longest Common Factor (LCF) of a set of strings is a well studied problem having a wide range of applications in Bioinformatics: from microarrays to DNA sequences analysis. This problem has been solved by Hui (2000) who uses a famous constant-time solution to the Lowest Common Ancestor (LCA) problem in trees coupled with use of suffix trees. A data structure for the LCA problem, although linear in space and construction time, introduces a multiplicative constant in both space and time that reduces the range of applications in many biological applications. In this article we present a new method for solving the LCF problem using the suffix tree structure with an auxiliary array that take…

Discrete mathematicsSettore INF/01 - InformaticaSuffix tree[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Generalized suffix treeDAWGsuffix tree[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]Data structureLongest common substring problemlaw.inventionCombinatoricsSet (abstract data type)Range (mathematics)lawLongest Common Factor ProblemSuffixLowest common ancestorMathematics
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Online Scheduling of Task Graphs on Heterogeneous Platforms

2020

Modern computing platforms commonly include accelerators. We target the problem of scheduling applications modeled as task graphs on hybrid platforms made of two types of resources, such as CPUs and GPUs. We consider that task graphs are uncovered dynamically, and that the scheduler has information only on the available tasks, i.e., tasks whose predecessors have all been completed. Each task can be processed by either a CPU or a GPU, and the corresponding processing times are known. Our study extends a previous $4\sqrt{m/k}$ 4 m / k -competitive online algorithm by Amaris et al. [1] , where $m$ m is the number of CPUs and $k$ k the number of GPUs ( $m\geq k$ m ≥ k ). We prove that no online…

Discrete mathematics[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]020203 distributed computingScheduleCompetitive analysisComputer scienceHeuristicSchedulingOnline algorithmsProcessor schedulingSymmetric multiprocessor system02 engineering and technologyUpper and lower boundsGraphScheduling (computing)Computational Theory and MathematicsHardware and ArchitectureSignal Processing0202 electrical engineering electronic engineering information engineeringTask analysisTask graphsHeterogeneous computingOnline algorithm[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]
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New Encodings of Pseudo-Boolean Constraints into CNF

2009

International audience; This paper answers affirmatively the open question of the existence of a polynomial size CNF encoding of pseudo-Boolean (PB) constraints such that generalized arc consistency (GAC) is maintained through unit propagation (UP). All previous encodings of PB constraints either did not allow UP to maintain GAC, or were of exponential size in the worst case. This paper presents an encoding that realizes both of the desired properties. From a theoretical point of view, this narrows the gap between the expressive power of clauses and the one of pseudo-Boolean constraints.

Discrete mathematics[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Polynomial021103 operations researchUnit propagation[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]0211 other engineering and technologies[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]02 engineering and technologyComputer Science::Computational ComplexityExpressive powerExponential functionCombinatorics[ INFO.INFO-CC ] Computer Science [cs]/Computational Complexity [cs.CC]Encoding (memory)0202 electrical engineering electronic engineering information engineeringLocal consistency020201 artificial intelligence & image processingPoint (geometry)[INFO.INFO-CC] Computer Science [cs]/Computational Complexity [cs.CC][ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS]Mathematics
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A genetic system based on simulated crossover of sequences of two-bit genes

2006

AbstractWe introduce a genetic model based on simulated crossover of fixed sequences of two-bit genes. Results are(1)a lower bound on population size is exhibited such that a transition takes the stochastic finite population genetic system near the next state of the deterministic infinite population genetic system (provided both begin in the same state);(2)states and dynamics of the deterministic infinite population genetic system are derived for arbitrary (finite) fitness functions (expressed in terms of multivariate polynomials);(3)in the case of quadratic fitness defined by weight matrices with m nonnull entries it is shown that each state transition can be implemented in time O(m+l), wh…

Discrete mathematicseducation.field_of_studyGeneral Computer SciencePopulation sizeCrossoverPopulationState (functional analysis)Upper and lower boundsQuantitative Biology::GenomicsTheoretical Computer ScienceMarginal distribution genetic algorithmsChromosome (genetic algorithm)Genetic modelGenetic algorithmMax-cut problemeducationAlgorithmComputer Science(all)MathematicsTheoretical Computer Science
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A Probabilistic Approach to the Count-To-Infinity Problem in Distance-Vector Routing Algorithms

2013

Count-to-infinity problem is characteristic for routing algorithms based on the distributed implementation of the classical Bellman-Ford algorithm. In this paper a probabilistic solution to this problem is proposed. It is argued that by the use of a Bloom Filter added to the routing message the routing loops will with high probability not form. An experimental analysis of this solution for use in Wireless Sensor Networks in practice is also included.

Distance-vector routing protocolLink-state routing protocolComputer scienceAnt colony optimization algorithmsComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSMultipath routingComputer Science::Networking and Internet ArchitectureProbabilistic logicPath vector protocolProbabilistic analysis of algorithmsRouting (electronic design automation)Algorithm
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Production Planning in Production Networks: Models for Medium and Short-term Planning

2008

Distributed production networks are structures which are considered able to provide the organisational agility and efficiency necessary to compete in the global market. The performance of such organisations heavily depends on the ability of those involved in the network to coordinate their activities. Two approaches are available for managing complex distributed production networks: a centralised approach, where a unique entity (the planner, for instance) has all the necessary information to make planning decisions for the entire network; or a decentralised approach where each entity in the network has the necessary information and knowledge to make autonomous planning decisions, while the …

Distributed Decision Making Manufacturing Multi-agent Systems Negotiation Production Networks Production Planning Simulation algorithms productionSettore ING-IND/35 - Ingegneria Economico-GestionaleSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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