Search results for "Computation Theory & Mathematics"

showing 10 items of 332 documents

New Results on Vector and Homing Vector Automata

2019

We present several new results and connections between various extensions of finite automata through the study of vector automata and homing vector automata. We show that homing vector automata outperform extended finite automata when both are defined over $ 2 \times 2 $ integer matrices. We study the string separation problem for vector automata and demonstrate that generalized finite automata with rational entries can separate any pair of strings using only two states. Investigating stateless homing vector automata, we prove that a language is recognized by stateless blind deterministic real-time version of finite automata with multiplication iff it is commutative and its Parikh image is …

FOS: Computer and information sciencesFinite-state machineTheoretical computer scienceTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESFormal Languages and Automata Theory (cs.FL)Computer science010102 general mathematicsComputer Science - Formal Languages and Automata Theory0102 computer and information sciencesNonlinear Sciences::Cellular Automata and Lattice Gases01 natural sciencesAutomatonTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES010201 computation theory & mathematicsComputer Science (miscellaneous)0101 mathematicsComputer Science::Formal Languages and Automata TheoryHoming (hematopoietic)
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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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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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Fast computation of abelian runs

2016

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 $\mathcal{P}$. Our main result is an online algorithm that, given a word $w$ of length $n$ over an alphabet of cardinality $\sigma$ and a Parikh vector $\mathcal{P}$, returns all the abelian runs of period $\mathcal{P}$ in $w$ in time $O(n)$ and space $O(\sigma+p)$, where $p$ is the norm of $\mathcal{P}$, i.e., the sum of its components. We also present an online algorithm that computes all the abelian runs with periods of norm $p$ in $w$ in time $O(np)$, for any given norm $p$. Finally, we give an $O(n^2)$-time offline randomi…

FOS: Computer and information sciencesGeneral Computer ScienceComputationAbelian run[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Elementary abelian group0102 computer and information sciences02 engineering and technology01 natural sciencesRank of an abelian groupTheoretical Computer ScienceCombinatoricsComputer Science - Data Structures and Algorithms0202 electrical engineering electronic engineering information engineeringData Structures and Algorithms (cs.DS)[INFO]Computer Science [cs]Online algorithmAbelian groupComputingMilieux_MISCELLANEOUSMathematicsCombinatorics on wordDiscrete mathematicsComputer Science (all)Abelian periodText algorithm16. Peace & justiceSubstringRandomized algorithmCombinatorics on words010201 computation theory & mathematics020201 artificial intelligence & image processingComputer Science::Formal Languages and Automata Theory
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Abelian-Square-Rich Words

2017

An abelian square is the concatenation of two words that are anagrams of one another. A word of length $n$ can contain at most $\Theta(n^2)$ distinct factors, and there exist words of length $n$ containing $\Theta(n^2)$ distinct abelian-square factors, that is, distinct factors that are abelian squares. This motivates us to study infinite words such that the number of distinct abelian-square factors of length $n$ grows quadratically with $n$. More precisely, we say that an infinite word $w$ is {\it abelian-square-rich} if, for every $n$, every factor of $w$ of length $n$ contains, on average, a number of distinct abelian-square factors that is quadratic in $n$; and {\it uniformly abelian-sq…

FOS: Computer and information sciencesGeneral Computer ScienceDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)Abelian squareComputer Science - Formal Languages and Automata Theory0102 computer and information sciences02 engineering and technology68R1501 natural sciencesSquare (algebra)Theoretical Computer ScienceCombinatorics0202 electrical engineering electronic engineering information engineeringFOS: MathematicsMathematics - CombinatoricsAbelian groupQuotientMathematicsDiscrete mathematicsComputer Science (all)Sturmian wordSturmian wordFunction (mathematics)Thue–Morse word010201 computation theory & mathematicsBounded functionThue-Morse wordExponentAbelian square; Sturmian word; Thue-Morse word; Theoretical Computer Science; Computer Science (all)020201 artificial intelligence & image processingCombinatorics (math.CO)Word (group theory)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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On the least number of palindromes contained in an infinite word

2013

We investigate the least number of palindromic factors in an infinite word. We first consider general alphabets, and give answers to this problem for periodic and non-periodic words, closed or not under reversal of factors. We then investigate the same problem when the alphabet has size two.

FOS: Computer and information sciencesGeneral Computer ScienceDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)Computer Science - Formal Languages and Automata Theory0102 computer and information sciences68R1501 natural sciencesTheoretical Computer ScienceCombinatorics[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]FOS: MathematicsMathematics - CombinatoricsPalindromes0101 mathematicsComputingMilieux_MISCELLANEOUSMathematicsCombinatorics on wordDiscrete mathematics010102 general mathematicsPalindromeCombinatorics on words010201 computation theory & mathematicsCombinatorics (math.CO)AlphabetWord (group theory)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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Generating a Gray code for prefix normal words in amortized polylogarithmic time per word

2020

A prefix normal word is a binary word with the property that no substring has more $1$s than the prefix of the same length. By proving that the set of prefix normal words is a bubble language, we can exhaustively list all prefix normal words of length $n$ as a combinatorial Gray code, where successive strings differ by at most two swaps or bit flips. This Gray code can be generated in $\Oh(\log^2 n)$ amortized time per word, while the best generation algorithm hitherto has $\Oh(n)$ running time per word. We also present a membership tester for prefix normal words, as well as a novel characterization of bubble languages.

FOS: Computer and information sciencesGeneral Computer ScienceFormal Languages and Automata Theory (cs.FL)Property (programming)combinatorial Gray codeComputer Science - Formal Languages and Automata TheoryData_CODINGANDINFORMATIONTHEORY0102 computer and information sciences02 engineering and technologyCharacterization (mathematics)01 natural sciencesTheoretical Computer ScienceCombinatoricsSet (abstract data type)Gray codeComputer Science - Data Structures and Algorithms0202 electrical engineering electronic engineering information engineeringData Structures and Algorithms (cs.DS)MathematicsAmortized analysisSettore INF/01 - Informaticaprefix normal wordsSubstringcombinatorial generationPrefixjumbled pattern matching010201 computation theory & mathematics020201 artificial intelligence & image processingbinary languagesprefix normal words binary languages combinatorial Gray code combinatorial generation jumbled pattern matchingWord (computer architecture)Theoretical Computer Science
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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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Mahonian STAT on rearrangement class of words

2017

In 2000, Babson and Steingr\'{i}msson generalized the notion of permutation patterns to the so-called vincular patterns, and they showed that many Mahonian statistics can be expressed as sums of vincular pattern occurrence statistics. STAT is one of such Mahonian statistics discoverd by them. In 2016, Kitaev and the third author introduced a words analogue of STAT and proved a joint equidistribution result involving two sextuple statistics on the whole set of words with fixed length and alphabet. Moreover, their computer experiments hinted at a finer involution on $R(w)$, the rearrangement class of a given word $w$. We construct such an involution in this paper, which yields a comparable jo…

FOS: Computer and information sciencesInvolution (mathematics)Mathematics::CombinatoricsDiscrete Mathematics (cs.DM)Applied Mathematics05A05 05A190211 other engineering and technologies021107 urban & regional planning0102 computer and information sciences02 engineering and technology01 natural sciencesRobinson–Schensted–Knuth correspondenceCombinatorics010201 computation theory & mathematicsFOS: MathematicsMathematics - CombinatoricsDiscrete Mathematics and CombinatoricsCombinatorics (math.CO)AlphabetFixed lengthComputer Science - Discrete MathematicsMathematicsDiscrete Applied Mathematics
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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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