Search results for "complexi"

showing 10 items of 1116 documents

The Descriptive Complexity Approach to LOGCFL

1998

Building upon the known generalized-quantifier-based first-order characterization of LOGCFL, we lay the groundwork for a deeper investigation. Specifically, we examine subclasses of LOGCFL arising from varying the arity and nesting of groupoidal quantifiers. Our work extends the elaborate theory relating monoidal quantifiers to NC1 and its subclasses. In the absence of the BIT predicate, we resolve the main issues: we show in particular that no single outermost unary groupoidal quantifier with FO can capture all the context-free languages, and we obtain the surprising result that a variant of Greibach's ``hardest context-free language'' is LOGCFL-complete under quantifier-free BIT-free proj…

FOS: Computer and information sciencesFinite model theoryUnary operationComputer Networks and Communicationsautomata and formal languages0102 computer and information sciencesComputational Complexity (cs.CC)Computer Science::Computational ComplexityArityDescriptive complexity theory01 natural sciencesTheoretical Computer ScienceComputer Science::Logic in Computer ScienceNondeterministic finite automaton0101 mathematicsLOGCFLMathematicsDiscrete mathematicscomputational complexityApplied Mathematics010102 general mathematicsdescriptive complexityNondeterministic algorithmComputer Science - Computational Complexityfinite model theoryQuantifier (logic)Computational Theory and Mathematics010201 computation theory & mathematicsF.1.3Journal of Computer and System Sciences
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The Fluted Fragment with Transitivity

2019

We study the satisfiability problem for the fluted fragment extended with transitive relations. We show that the logic enjoys the finite model property when only one transitive relation is available. On the other hand we show that the satisfiability problem is undecidable already for the two-variable fragment of the logic in the presence of three transitive relations.

FOS: Computer and information sciencesFirst-Order logicComputer Science - Logic in Computer ScienceTransitivity000 Computer science knowledge general worksComputer Science::Logic in Computer ScienceComputer ScienceDecidabilityComplexitySatisfiabilityLogic in Computer Science (cs.LO)
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Superiority of exact quantum automata for promise problems

2011

In this note, we present an infinite family of promise problems which can be solved exactly by just tuning transition amplitudes of a two-state quantum finite automata operating in realtime mode, whereas the size of the corresponding classical automata grow without bound.

FOS: Computer and information sciencesFormal Languages and Automata Theory (cs.FL)Timed automatonFOS: Physical sciencesComputer Science - Formal Languages and Automata Theory0102 computer and information sciencesω-automatonComputational Complexity (cs.CC)01 natural sciencesTheoretical Computer ScienceDeterministic automatonApplied mathematicsQuantum finite automataTwo-way deterministic finite automatonNondeterministic finite automaton0101 mathematicsMathematicsDiscrete mathematicsQuantum Physics010102 general mathematicsComputer Science ApplicationsComputer Science - Computational Complexity010201 computation theory & mathematicsSignal ProcessingAutomata theoryQuantum Physics (quant-ph)Computer Science::Formal Languages and Automata TheoryInformation SystemsQuantum cellular automaton
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On the Lie complexity of Sturmian words

2022

Bell and Shallit recently introduced the Lie complexity of an infinite word $s$ as the function counting for each length the number of conjugacy classes of words whose elements are all factors of $s$. They proved, using algebraic techniques, that the Lie complexity is bounded above by the first difference of the factor complexity plus one; hence, it is uniformly bounded for words with linear factor complexity, and, in particular, it is at most 2 for Sturmian words, which are precisely the words with factor complexity $n+1$ for every $n$. In this note, we provide an elementary combinatorial proof of the result of Bell and Shallit and give an exact formula for the Lie complexity of any Sturmi…

FOS: Computer and information sciencesGeneral Computer ScienceSettore INF/01 - InformaticaDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)Sturmian wordComputer Science - Formal Languages and Automata TheoryComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)G.2.168R15Lie complexityTheoretical Computer ScienceLie complexity Sturmian wordFOS: MathematicsMathematics - CombinatoricsCombinatorics (math.CO)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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On Block Sensitivity and Fractional Block Sensitivity

2018

We investigate the relation between the block sensitivity bs(f) and fractional block sensitivity fbs(f) complexity measures of Boolean functions. While it is known that fbs(f) = O(bs(f)2), the best known separation achieves $${\rm{fbs}}\left( f \right) = \left( {{{\left( {3\sqrt 2 } \right)}^{ - 1}} + o\left( 1 \right)} \right){\rm{bs}}{\left( f \right)^{3/2}}$$ . We improve the constant factor and show a family of functions that give fbs(f) = (6−1/2 − o(1)) bs(f)3/2.

FOS: Computer and information sciencesGeneral Mathematics010102 general mathematicsBlock (permutation group theory)0102 computer and information sciencesComputational Complexity (cs.CC)01 natural sciencesConstant factorCombinatoricsComputer Science - Computational Complexity010201 computation theory & mathematicsSensitivity (control systems)0101 mathematicsAlgebra over a fieldMathematics
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ALGORITHMS FOR JUMBLED PATTERN MATCHING IN STRINGS

2011

The Parikh vector p(s) of a string s is defined as the vector of multiplicities of the characters. Parikh vector q occurs in s if s has a substring t with p(t)=q. We present two novel algorithms for searching for a query q in a text s. One solves the decision problem over a binary text in constant time, using a linear size index of the text. The second algorithm, for a general finite alphabet, finds all occurrences of a given Parikh vector q and has sub-linear expected time complexity; we present two variants, which both use a linear size index of the text.

FOS: Computer and information sciencesJ.3average case analysis.Binary numberaverage case analysispermuted stringpermuted stringsComputer Science - Data Structures and AlgorithmsComputer Science (miscellaneous)Parikh vectorData Structures and Algorithms (cs.DS)Pattern matchingTime complexityMathematicsString (computer science)Parikh vectorsstring algorithmDecision problemstring algorithmsSubstringParikh vectors; permuted strings; pattern matching; string algorithms; average case analysisF.2.2; J.3Index (publishing)pattern matchingF.2.2Constant (mathematics)AlgorithmComputer Science::Formal Languages and Automata Theory
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All Classical Adversary Methods Are Equivalent for Total Functions

2017

We show that all known classical adversary lower bounds on randomized query complexity are equivalent for total functions and are equal to the fractional block sensitivity fbs( f ). That includes the Kolmogorov complexity bound of Laplante and Magniez and the earlier relational adversary bound of Aaronson. This equivalence also implies that for total functions, the relational adversary is equivalent to a simpler lower bound, which we call rank-1 relational adversary. For partial functions, we show unbounded separations between fbs( f ) and other adversary bounds, as well as between the adversary bounds themselves. We also show that, for partial functions, fractional block sensitivity canno…

FOS: Computer and information sciencesKolmogorov complexity010102 general mathematicsBlock (permutation group theory)0102 computer and information sciencesFunction (mathematics)Computational Complexity (cs.CC)Adversary01 natural sciencesUpper and lower boundsTheoretical Computer ScienceCombinatoricsComputer Science - Computational ComplexityComputational Theory and Mathematics010201 computation theory & mathematicsPartial functionSensitivity (control systems)0101 mathematicsEquivalence (measure theory)MathematicsACM Transactions on Computation Theory
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Variable time amplitude amplification and a faster quantum algorithm for solving systems of linear equations

2010

We present two new quantum algorithms. Our first algorithm is a generalization of amplitude amplification to the case when parts of the quantum algorithm that is being amplified stop at different times. Our second algorithm uses the first algorithm to improve the running time of Harrow et al. algorithm for solving systems of linear equations from O(kappa^2 log N) to O(kappa log^3 kappa log N) where \kappa is the condition number of the system of equations.

FOS: Computer and information sciencesMathematics::LogicQuantum PhysicsComputer Science - Computational ComplexityComputer Science - Data Structures and AlgorithmsFOS: Physical sciencesData Structures and Algorithms (cs.DS)Computational Complexity (cs.CC)Quantum Physics (quant-ph)
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Heretical Mutiple Importance Sampling

2016

Multiple Importance Sampling (MIS) methods approximate moments of complicated distributions by drawing samples from a set of proposal distributions. Several ways to compute the importance weights assigned to each sample have been recently proposed, with the so-called deterministic mixture (DM) weights providing the best performance in terms of variance, at the expense of an increase in the computational cost. A recent work has shown that it is possible to achieve a trade-off between variance reduction and computational effort by performing an a priori random clustering of the proposals (partial DM algorithm). In this paper, we propose a novel "heretical" MIS framework, where the clustering …

FOS: Computer and information sciencesMean squared errorComputer scienceApplied MathematicsEstimator020206 networking & telecommunications02 engineering and technologyVariance (accounting)Statistics - Computation01 natural sciencesReduction (complexity)010104 statistics & probability[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingSignal Processing0202 electrical engineering electronic engineering information engineeringA priori and a posterioriVariance reduction0101 mathematicsElectrical and Electronic EngineeringCluster analysisAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingImportance samplingComputation (stat.CO)ComputingMilieux_MISCELLANEOUS
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Classical automata on promise problems

2015

Promise problems were mainly studied in quantum automata theory. Here we focus on state complexity of classical automata for promise problems. First, it was known that there is a family of unary promise problems solvable by quantum automata by using a single qubit, but the number of states required by corresponding one-way deterministic automata cannot be bounded by a constant. For this family, we show that even two-way nondeterminism does not help to save a single state. By comparing this with the corresponding state complexity of alternating machines, we then get a tight exponential gap between two-way nondeterministic and one-way alternating automata solving unary promise problems. Secon…

FOS: Computer and information sciencesNested wordTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESUnary operationGeneral Computer ScienceFormal Languages and Automata Theory (cs.FL)nondeterministic automataComputer Science - Formal Languages and Automata Theoryω-automatonComputational Complexity (cs.CC)Theoretical Computer ScienceContinuous spatial automatonQuantum finite automataDiscrete Mathematics and Combinatoricsalternating automatapromise problemsMathematicsprobabilistic automataNonlinear Sciences::Cellular Automata and Lattice GasesMobile automatonNondeterministic algorithmAlgebra[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]Computer Science - Computational ComplexityTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESAutomata theorydescriptional complexityComputer Science::Formal Languages and Automata Theory
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