Search results for "Complexity"

showing 10 items of 1094 documents

NP-completeness of the hamming salesman problem

1985

It is shown that the traveling salesman problem, where cities are bit strings with Hamming distances, is NP-complete.

Discrete mathematicsComputer Networks and CommunicationsApplied MathematicsComputer Science::Neural and Evolutionary ComputationHamming distanceComputer Science::Computational ComplexityTravelling salesman problemCombinatoricsHigh Energy Physics::TheoryComputational MathematicsCompleteness (order theory)Computer Science::Data Structures and AlgorithmsNP-completeBottleneck traveling salesman problemHamming codeSoftwareComputer Science::Information TheoryMathematicsBIT
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Graph connectivity and monadic NP

2002

Ehrenfeucht games are a useful tool in proving that certain properties of finite structures are not expressible by formulas of a certain type. In this paper a new method is introduced that allows the extension of a local winning strategy for Duplicator, one of the two players in Ehrenfeucht games, to a global winning strategy. As an application it is shown that graph connectivity cannot be expressed by existential second-order formulas, where the second-order quantification is restricted to unary relations (monadic NP), even, in the presence of a built-in linear order. As a second application it is stated, that, on the other hand, the presence of a linear order increases the power of monadi…

Discrete mathematicsComputer Science::Computer Science and Game TheoryUnary operationComputational complexity theoryRelation (database)Extension (predicate logic)Type (model theory)CombinatoricsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputer Science::Logic in Computer ScienceOrder (group theory)Game theoryComputer Science::Formal Languages and Automata TheoryConnectivityMathematicsProceedings 35th Annual Symposium on Foundations of Computer Science
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First-order expressibility of languages with neutral letters or: The Crane Beach conjecture

2005

A language L over an alphabet A is said to have a neutral letter if there is a letter [email protected]?A such that inserting or deleting e's from any word in A^* does not change its membership or non-membership in L. The presence of a neutral letter affects the definability of a language in first-order logic. It was conjectured that it renders all numerical predicates apart from the order predicate useless, i.e., that if a language L with a neutral letter is not definable in first-order logic with linear order, then it is not definable in first-order logic with any set N of numerical predicates. Named after the location of its first, flawed, proof this conjecture is called the Crane Beach …

Discrete mathematicsConjectureComputer Networks and CommunicationsApplied MathematicsFirst orderNumerical predicatesPredicate (grammar)Theoretical Computer ScienceFirst-order logicIterated logarithmCombinatoricsComputational Theory and MathematicsRegular languageDatabase theoryCircuit complexityFirst-order logicCircuit uniformityMathematicsJournal of Computer and System Sciences
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On a Conjecture on Bidimensional Words

2003

We prove that, given a double sequence w over the alphabet A (i.e. a mapping from Z2 to A), if there exists a pair (n0, m0) ∈ Z2 such that pw(n0, m0) < 1/100n0m0, then w has a periodicity vector, where pw is the complexity function in rectangles of w.

Discrete mathematicsConjectureGeneral Computer ScienceExistential quantificationTheoretical Computer ScienceCombinatoricsCombinatorics on wordsFormal languageComplexity functionPattern matchingAlphabetDouble sequenceComputer Science(all)Mathematics
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Approximate convex hull of affine iterated function system attractors

2012

International audience; In this paper, we present an algorithm to construct an approximate convex hull of the attractors of an affine iterated function system (IFS). We construct a sequence of convex hull approximations for any required precision using the self-similarity property of the attractor in order to optimize calculations. Due to the affine properties of IFS transformations, the number of points considered in the construction is reduced. The time complexity of our algorithm is a linear function of the number of iterations and the number of points in the output convex hull. The number of iterations and the execution time increases logarithmically with increasing accuracy. In additio…

Discrete mathematicsConvex hull0209 industrial biotechnologyGeneral MathematicsApplied Mathematics010102 general mathematicsProper convex functionConvex setMathematicsofComputing_GENERALGeneral Physics and AstronomyStatistical and Nonlinear Physics02 engineering and technology[ INFO.INFO-GR ] Computer Science [cs]/Graphics [cs.GR]01 natural sciences[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]020901 industrial engineering & automationAffine hullTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYConvex polytopeOutput-sensitive algorithmConvex combination0101 mathematicsConvex conjugateMathematics
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Dichotomies properties on computational complexity of S-packing coloring problems

2015

This work establishes the complexity class of several instances of the S -packing coloring problem: for a graph G , a positive integer k and a nondecreasing list of integers S = ( s 1 , ? , s k ) , G is S -colorable if its vertices can be partitioned into sets S i , i = 1 , ? , k , where each S i is an s i -packing (a set of vertices at pairwise distance greater than s i ). In particular we prove a dichotomy between NP-complete problems and polynomial-time solvable problems for lists of at most four integers.

Discrete mathematicsDichotomyComputational complexity theory010102 general mathematics0102 computer and information sciences01 natural sciencesGraphTheoretical Computer ScienceCombinatoricsIntegerSet packing010201 computation theory & mathematicsComplexity classDiscrete Mathematics and CombinatoricsPairwise comparison0101 mathematicsColoring problemMathematicsDiscrete Mathematics
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Understanding Quantum Algorithms via Query Complexity

2017

Query complexity is a model of computation in which we have to compute a function $f(x_1, \ldots, x_N)$ of variables $x_i$ which can be accessed via queries. The complexity of an algorithm is measured by the number of queries that it makes. Query complexity is widely used for studying quantum algorithms, for two reasons. First, it includes many of the known quantum algorithms (including Grover's quantum search and a key subroutine of Shor's factoring algorithm). Second, one can prove lower bounds on the query complexity, bounding the possible quantum advantage. In the last few years, there have been major advances on several longstanding problems in the query complexity. In this talk, we su…

Discrete mathematicsFOS: Computer and information sciencesQuantum PhysicsComputer scienceModel of computationSubroutineComputer Science::Information RetrievalFOS: Physical sciencesFunction (mathematics)Computational Complexity (cs.CC)Symmetric functionComputer Science - Computational ComplexityBounding overwatchPartial functionKey (cryptography)Quantum algorithmQuantum Physics (quant-ph)Computer Science::Databases
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On Physical Problems that are Slightly More Difficult than QMA

2013

We study the complexity of computational problems from quantum physics. Typically, they are studied using the complexity class QMA (quantum counterpart of NP) but some natural computational problems appear to be slightly harder than QMA. We introduce new complexity classes consisting of problems that are solvable with a small number of queries to a QMA oracle and use these complexity classes to quantify the complexity of several natural computational problems (for example, the complexity of estimating the spectral gap of a Hamiltonian).

Discrete mathematicsFOS: Computer and information sciencesQuantum PhysicsTheoretical computer scienceCompleteNP-easyFOS: Physical sciences0102 computer and information sciencesComputer Science::Computational ComplexityComputational Complexity (cs.CC)01 natural sciencesPHStructural complexity theoryComputer Science - Computational Complexity010201 computation theory & mathematics0103 physical sciencesAsymptotic computational complexityComplexity classF.1.2Low010306 general physicsQuantum Physics (quant-ph)Quantum complexity theoryMathematics2014 IEEE 29th Conference on Computational Complexity (CCC)
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The Alternating BWT: an algorithmic perspective

2020

Abstract The Burrows-Wheeler Transform (BWT) is a word transformation introduced in 1994 for Data Compression. It has become a fundamental tool for designing self-indexing data structures, with important applications in several areas in science and engineering. The Alternating Burrows-Wheeler Transform (ABWT) is another transformation recently introduced in Gessel et al. (2012) [21] and studied in the field of Combinatorics on Words. It is analogous to the BWT, except that it uses an alternating lexicographical order instead of the usual one. Building on results in Giancarlo et al. (2018) [23] , where we have shown that BWT and ABWT are part of a larger class of reversible transformations, …

Discrete mathematicsFOS: Computer and information sciencesSettore INF/01 - InformaticaGeneral Computer ScienceBasis (linear algebra)Computer scienceAlternating Burrows-Wheeler TransformGalois wordRank-invertibilityField (mathematics)Data structureTheoretical Computer ScienceTransformation (function)Difference cover algorithmComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Time complexityAlternating Burrows-Wheeler Transform; Difference cover algorithm; Galois word; Rank-invertibilityWord (computer architecture)Data compression
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Minimal forbidden words and symbolic dynamics

1996

We introduce a new complexity measure of a factorial formal language L: the growth rate of the set of minimal forbidden words. We prove some combinatorial properties of minimal forbidden words. As main result we prove that the growth rate of the set of minimal forbidden words for L is a topological invariant of the dynamical system defined by L.

Discrete mathematicsFactorial010102 general mathematics[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Symbolic dynamicsComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]0102 computer and information sciencesInvariant (physics)16. Peace & justice01 natural sciencesCombinatorics010201 computation theory & mathematicsTheoryofComputation_LOGICSANDMEANINGSOFPROGRAMSInformation complexityFormal language0101 mathematicsComputer Science::Formal Languages and Automata TheoryComputingMilieux_MISCELLANEOUSMathematicsofComputing_DISCRETEMATHEMATICSMathematics
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