Search results for "binary"

showing 10 items of 833 documents

Root-restricted Kleenean rotations

2010

We generalize the Kleene theorem to the case where nonassociative products are used. For this purpose, we apply rotations restricted to the root of binary trees.

Discrete mathematicsBinary treeMathematics::Rings and AlgebrasRoot (chord)Kleene theoremComputer Science ApplicationsTheoretical Computer ScienceCombinatoricsMathematics::Group TheoryProduct (mathematics)Signal ProcessingRotation (mathematics)Computer Science::Formal Languages and Automata TheoryInformation SystemsMathematicsInformation Processing Letters
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Generation of Valid Labeled Binary Trees

2003

International audience; Generating binary trees is a well-known problem. In this paper, we add some constraints to leaves of these trees. Such trees are used in the morphing of polygons, where a polygon P is represented by a binary tree T and each angle of P is a weight on a leaf of T. In the following, we give two algorithms to generate all binary trees, without repetitions, having the same weight distribution to their leaves and representing all parallel polygons to P.

Discrete mathematicsBinary treeOptimal binary search tree[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Weight-balanced tree[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]Scapegoat treeComputer Science::Computational GeometryRandom binary treeCombinatoricsBinary search treeTernary search treeMetric treeMathematicsComputingMethodologies_COMPUTERGRAPHICS
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On the determinization of weighted finite automata

1998

We study determinization of weighted finite-state automata (WFAs), which has important applications in automatic speech recognition (ASR). We provide the first polynomial-time algorithm to test for the twins property, which determines if a WFA admits a deterministic equivalent. We also provide a rigorous analysis of a determinization algorithm of Mohri, with tight bounds for acyclic WFAs. Given that WFAs can expand exponentially when determinized, we explore why those used in ASR tend to shrink. The folklore explanation is that ASR WFAs have an acyclic, multi-partite structure. We show, however, that there exist such WFAs that always incur exponential expansion when determinized. We then in…

Discrete mathematicsClass (set theory)Finite-state machineBinary treeComputer Science::SoundComputer scienceDeterministic automatonProbabilistic automatonStructure (category theory)AlgorithmAutomaton
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Combinatorial aspects of L-convex polyominoes

2007

We consider the class of L-convex polyominoes, i.e. those polyominoes in which any two cells can be connected with an ''L'' shaped path in one of its four cyclic orientations. The paper proves bijectively that the number f"n of L-convex polyominoes with perimeter 2(n+2) satisfies the linear recurrence relation f"n"+"2=4f"n"+"1-2f"n, by first establishing a recurrence of the same form for the cardinality of the ''2-compositions'' of a natural number n, a simple generalization of the ordinary compositions of n. Then, such 2-compositions are studied and bijectively related to certain words of a regular language over four letters which is in turn bijectively related to L-convex polyominoes. In …

Discrete mathematicsClass (set theory)Mathematics::CombinatoricsPolyominoEnumerationOpen problemGenerating functionRegular polygonPolyominoesNatural numberComputer Science::Computational GeometryFormal SeriesCombinatoricsCardinalityRegular languageDiscrete Mathematics and CombinatoricsTomographyAlgorithmsbinary tomographyMathematicsEnumeration; Formal Series; PolyominoesEuropean Journal of Combinatorics
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Lower space bounds for randomized computation

1994

It is a fundamental problem in the randomized computation how to separate different randomized time or randomized space classes (c.f., e.g., [KV87, KV88]). We have separated randomized space classes below log n in [FK94]. Now we have succeeded to separate small randomized time classes for multi-tape 2-way Turing machines. Surprisingly, these “small” bounds are of type n+f(n) with f(n) not exceeding linear functions. This new approach to “sublinear” time complexity is a natural counterpart to sublinear space complexity. The latter was introduced by considering the input tape and the work tape as separate devices and distinguishing between the space used for processing information and the spa…

Discrete mathematicsCombinatoricsTuring machinesymbols.namesakeSublinear functionKolmogorov complexitysymbolsType (model theory)Binary logarithmSpace (mathematics)Time complexityWord (computer architecture)Mathematics
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Enumerating the Walecki-Type Hamiltonian Cycle Systems

2017

Let Kv be the complete graph on v vertices. A Hamiltonian cycle system of odd order v (briefly HCS(v)) is a set of Hamiltonian cycles of Kv whose edges partition the edge set of Kv. By means of a slight modification of the famous HCS(4n+1) of Walecki, we obtain 2n pairwise distinct HCS(4n+1) and we enumerate them up to isomorphism proving that this is equivalent to count the number of binary bracelets of length n, i.e. the orbits of Dn, the dihedral group of order 2n, acting on binary n-tuples.

Discrete mathematicsComplete graphBinary number020206 networking & telecommunications0102 computer and information sciences02 engineering and technologyDihedral group01 natural sciencesHamiltonian pathCombinatoricssymbols.namesake010201 computation theory & mathematicsPhysics::Space Physics0202 electrical engineering electronic engineering information engineeringsymbolsDiscrete Mathematics and CombinatoricsPartition (number theory)Hamiltonian (quantum mechanics)MathematicsJournal of Combinatorial Designs
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Reordering Method and Hierarchies for Quantum and Classical Ordered Binary Decision Diagrams

2017

We consider Quantum OBDD model. It is restricted version of read-once Quantum Branching Programs, with respect to “width” complexity. It is known that maximal complexity gap between deterministic and quantum model is exponential. But there are few examples of such functions. We present method (called “reordering”), which allows to build Boolean function g from Boolean Function f, such that if for f we have gap between quantum and deterministic OBDD complexity for natural order of variables, then we have almost the same gap for function g, but for any order. Using it we construct the total function REQ which deterministic OBDD complexity is \(2^{\varOmega (n/log n)}\) and present quantum OBD…

Discrete mathematicsComputational complexity theoryImplicit functionBinary decision diagram010102 general mathematics0102 computer and information sciencesFunction (mathematics)Computer Science::Artificial IntelligenceComputer Science::Computational Complexity01 natural sciencesCombinatorics010201 computation theory & mathematicsComputer Science::Logic in Computer ScienceComplexity class0101 mathematicsBoolean functionQuantum complexity theoryQuantum computerMathematics
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Witness computation for solving geometric constraint systems

2014

International audience; In geometric constraint solving, the constraints are represented with an equation system F(U, X) = 0, where X denotes the unknowns and U denotes a set of parameters. The target solution for X is noted XT. A witness is a couple (U_W, X_W) such that F(U_W, X_W) = 0. The witness is not the target solution, but they share the same combinatorial features, even when the witness and the target lie on two distinct connected components of the solution set of F(U, X) = 0. Thus a witness enables the qualitative study of the system: the detection of over- and under-constrained systems, the decomposition into irreducible subsystems, the computation of subsystems boundaries. This …

Discrete mathematicsConnected componentMathematical optimization[ INFO ] Computer Science [cs]Numerical algorithmsComputer scienceComputationNumerical analysisSystem FSolution setBinary constraint[INFO] Computer Science [cs]16. Peace & justiceGeometric constraint solvingWitnessSimplex algorithmWitness computation[INFO]Computer Science [cs]
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On the use of relational expressions in the design of efficient algorithms

2005

Relational expressions have finite binary relations as arguments and the operations are composition (·), closure (*), inverse (−1), and union (U). The efficient computation of the relation denoted by a relational expression is considered, and a tight bound is established on the complexity of the algorithm suggested by Hunt, Szymanski and Ullman. The result implies a unified method for deriving efficient algorithms for many problems in parsing. For example, optimal algorithms are derived for strong LL(1) and strong LL(2) parser construction and an efficient polynomialtime algorithm is derived for determining the inessential error entries in an LR(1) parsing table.

Discrete mathematicsEmpty stringParsingRelation (database)Binary relationTransitive closure0102 computer and information sciences02 engineering and technology16. Peace & justicecomputer.software_genre01 natural sciencesExpression (mathematics)TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESClosure (mathematics)010201 computation theory & mathematics020204 information systems0202 electrical engineering electronic engineering information engineeringTable (database)computerMathematics
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Balancing and clustering of words in the Burrows–Wheeler transform

2011

AbstractCompression algorithms based on Burrows–Wheeler transform (BWT) take advantage of the fact that the word output of BWT shows a local similarity and then turns out to be highly compressible. The aim of the present paper is to study such “clustering effect” by using notions and methods from Combinatorics on Words.The notion of balance of a word plays a central role in our investigation. Empirical observations suggest that balance is actually the combinatorial property of input word that ensure optimal BWT compression. Moreover, it is reasonable to assume that the more balanced the input word is, the more local similarity we have after BWT (and therefore the better the compression is).…

Discrete mathematicsGeneral Computer ScienceBurrows–Wheeler transformCombinatorics on wordsPalindromeComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Binary alphabetTheoretical Computer ScienceCombinatorics on wordsData compressionEntropy (information theory)Combinatorics on words; Burrows–Wheeler transform; Data compressionArithmeticCluster analysisEmpirical evidenceBurrows–Wheeler transformComputer Science::Formal Languages and Automata TheoryMathematicsData compressionComputer Science(all)
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