Search results for "combinatoric"

showing 10 items of 1776 documents

Unambiguous recognizable two-dimensional languages

2006

We consider the family UREC of unambiguous recognizable two-dimensional languages. We prove that there are recognizable languages that are inherently ambiguous, that is UREC family is a proper subclass of REC family. The result is obtained by showing a necessary condition for unambiguous recognizable languages. Further UREC family coincides with the class of picture languages defined by unambiguous 2OTA and it strictly contains its deterministic counterpart. Some closure and non-closure properties of UREC are presented. Finally we show that it is undecidable whether a given tiling system is unambiguous.

DeterminismSettore INF/01 - InformaticaDeterministic context-free languageGeneral MathematicsTwo-dimensional languagesAutomata and formal languages; Determinism; Two-dimensional languages; UnambiguityComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Class (philosophy)Computer Science ApplicationsUndecidable problemAutomata and Formal Languages. ; Unambiguity ; Determinism. .; Two-dimensional languagesCombinatoricsClosure (mathematics)Computer Science::Programming LanguagesAutomata and formal languagesDeterminism.ArithmeticComputer Science::Formal Languages and Automata TheorySoftwareUnambiguityMathematics
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Weak and strong recognition by 2-way randomized automata

1997

Languages weakly recognized by a Monte Carlo 2-way finite automaton with n states are proved to be strongly recognized by a Monte Carlo 2-way finite automaton with no(n) states. This improves dramatically over the previously known result by M.Karpinski and R.Verbeek [10] which is also nontrivial since these languages can be nonregular [5]. For tally languages the increase in the number of states is proved to be only polynomial, and these languages are regular.

Deterministic pushdown automatonCombinatoricsDeterministic automatonProbabilistic automatonPushdown automatonQuantum finite automataBüchi automatonTwo-way deterministic finite automatonNondeterministic finite automatonComputer Science::Computational ComplexityComputer Science::Formal Languages and Automata TheoryMathematics
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A note on rank 2 diagonals

2020

<p>We solve two questions regarding spaces with a (G<sub>δ</sub>)-diagonal of rank 2. One is a question of Basile, Bella and Ridderbos about weakly Lindelöf spaces with a G<sub>δ</sub>-diagonal of rank 2 and the other is a question of Arhangel’skii and Bella asking whether every space with a diagonal of rank 2 and cellularity continuum has cardinality at most continuum.</p>

DiagonalCardinal invariantsMathematics::General TopologyWeakly Lindelöflcsh:AnalysisSpace (mathematics)01 natural sciencesCombinatoricsBELLACardinalitydual propertiesCardinality boundsFOS: MathematicsRank (graph theory)Continuum (set theory)0101 mathematicsDual propertiesMathematics - General TopologyMathematicsweakly LindelofGδ- diagonallcsh:Mathematics010102 general mathematicsGeneral Topology (math.GN)neighbourhood assignmentGδ-diagonallcsh:QA299.6-433lcsh:QA1-939gδ-diagonal010101 applied mathematicscardinality boundsMathematics::LogicNeighbourhood assignmentSettore MAT/03 - GeometriaGeometry and Topologyweakly lindelöf
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Regularity of renormalized solutions to nonlinear elliptic equations away from the support of measure data

2018

We prove boundedness and continuity for solutions to the Dirichlet problem for the equation $$ - {\rm{div}}(a(x,\nabla u)) = h(x,u) + \mu ,\;\;\;\;\;{\rm{in}}\;{\rm{\Omega }} \subset \mathbb{R}^{N},$$ where the left-hand side is a Leray-Lions operator from $$- {W}^{1,p}_0(\Omega)$$ into W−1,p′(Ω) with 1 < p < N, h(x,s) is a Caratheodory function which grows like ∣s∣p−1 and μ is a finite Radon measure. We prove that renormalized solutions, though not globally bounded, are Holder-continuous far from the support of μ.

Dirichlet problemElliptic partial differential equations; boundary-value problems; regularity; Hölder-continuityregularityOperator (physics)boundary-value problemsElliptic partial differential equationsHölder-continuityMeasure (mathematics)OmegaCombinatoricsBounded functionRadon measurep-LaplacianNabla symbolMathematics
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The Dirichlet problem for the total variation flow

2001

Suppose that Ω is an open bounded domain with a Lipschitz boundary. The purpose of this chapter is to study the Dirichlet problem $$ \left\{ \begin{gathered} \frac{{\partial u}} {{\partial t}} = div\left( {\frac{{Du}} {{\left| {Du} \right|}}} \right)in Q = \left( {0,\infty } \right) \times \Omega , \hfill \\ u\left( {t,x} \right) = \phi \left( x \right)on S = \left( {0,\infty } \right) \times \partial \Omega , \hfill \\ u\left( {0,x} \right) = u_0 \left( x \right)in x \in \Omega \hfill \\ \end{gathered} \right. $$ (5.1) where u0 ∈ L1(Ω) and ϕ ∈ L1 (∂Ω). This evolution equation is related to the gradient descent method used to solve the problem $$ \begin{gathered} Minimize \int {_\Omega \lef…

Dirichlet problemMathematical analysisBoundary (topology)Dirichlet's energyOmegaCombinatoricssymbols.namesakeFlow (mathematics)Dirichlet's principleDomain (ring theory)Evolution equationsymbolsAnalysisMathematics
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Shape optimization for monge-ampére equations via domain derivative

2011

In this note we prove that, if $\Omega$ is a smooth, strictly convex, open set in $R^n$ $(n \ge 2)$ with given measure, the $L^1$ norm of the convex solution to the Dirichlet problem $\det D^2 u=1$ in $\Omega$, $u=0$ on $\partial\Omega$, is minimum whenever $\Omega$ is an ellipsoid.

Dirichlet problemMathematical optimizationPure mathematicsFictitious domain methodDomain derivativeApplied MathematicsOpen setRegular polygonMonge–Ampère equationMonge-Ampère equationSettore MAT/05 - Analisi MatematicaGeneralizations of the derivativeNorm (mathematics)Discrete Mathematics and CombinatoricsAffine isoperimetric inequalitiesConvex functionAnalysisMathematics
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Leveraging Specific Contexts and Outcomes to Generalize in Combinatorial Settings

2018

International audience; Generalization is a fundamental aspect of mathematics, and it is a practice with which undergraduate students should engage and gain fluency. It is important for students in combinatorial settings to be able to generalize, but combinatorics lends itself to engagement with specific examples, concrete outcomes, and particular contexts. In this paper, we seek to inform the nature of generalization in combinatorial settings by demonstrating ways in which students leverage specific, concrete settings to engage in generalizing activity in combinatorics. We provide two data examples that highlight ways in which concrete and specific ideas can be leveraged to help students d…

Discrete MathematicsCombinatorics[SHS.EDU]Humanities and Social Sciences/Education[MATH.MATH-HO]Mathematics [math]/History and Overview [math.HO][SHS.EDU] Humanities and Social Sciences/Education[MATH.MATH-HO] Mathematics [math]/History and Overview [math.HO]ComputingMilieux_COMPUTERSANDEDUCATIONGeneralizationExamples
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Anti-concentration property for random digraphs and invertibility of their adjacency matrices

2016

Let Dn,dDn,d be the set of all directed d-regular graphs on n vertices. Let G be a graph chosen uniformly at random from Dn,dDn,d and M be its adjacency matrix. We show that M is invertible with probability at least View the MathML source1−Cln3⁡d/d for C≤d≤cn/ln2⁡nC≤d≤cn/ln2⁡n, where c,Cc,C are positive absolute constants. To this end, we establish a few properties of directed d-regular graphs. One of them, a Littlewood–Offord-type anti-concentration property, is of independent interest: let J be a subset of vertices of G with |J|≤cn/d|J|≤cn/d. Let δiδi be the indicator of the event that the vertex i is connected to J and δ=(δ1,δ2,…,δn)∈{0,1}nδ=(δ1,δ2,…,δn)∈{0,1}n. Then δ is not concentrate…

Discrete mathematics010102 general mathematicsNeighbourhood (graph theory)General Medicine01 natural sciencesGraphlaw.inventionVertex (geometry)Combinatorics010104 statistics & probabilityInvertible matrixlawAdjacency matrix0101 mathematicsMathematicsComptes Rendus Mathematique
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An exact method for graph coloring

2006

International audience; We are interested in the graph coloring problem. We propose an exact method based on a linear-decomposition of the graph. The complexity of this method is exponential according to the linearwidth of the entry graph, but linear according to its number of vertices. We present some experiments performed on literature instances, among which COLOR02 library instances. Our method is useful to solve more quickly than other exact algorithms instances with small linearwidth, such as mug graphs. Moreover, our algorithms are the first to our knowledge to solve the COLOR02 instance 4-Inser_3 with an exact method.

Discrete mathematics021103 operations research[INFO.INFO-RO] Computer Science [cs]/Operations Research [cs.RO]General Computer Science0211 other engineering and technologies[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO]0102 computer and information sciences02 engineering and technologyManagement Science and Operations Research01 natural scienceslaw.inventionCombinatoricsEdge coloring010201 computation theory & mathematicslawGraph powerModeling and SimulationLine graphGraph homomorphismGraph coloringFractional coloringGraph factorizationMathematicsList coloring[ INFO.INFO-RO ] Computer Science [cs]/Operations Research [cs.RO]
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Longest Motifs with a Functionally Equivalent Central Block

2004

International audience; This paper presents a generalization of the notion of longest repeats with a block of k don't care symbols introduced by [Crochemore et al., LATIN 2004] (for k fixed) to longest motifs composed of three parts: a first and last that parameterize match (that is, match via some symbol renaming, initially unknown), and a functionally equivalent central block. Such three-part motifs are called longest block motifs. Different types of functional equivalence, and thus of matching criteria for the central block are considered, which include as a subcase the one treated in [Crochemore et al., LATIN 2004] and extend to the case of regular expressions with no Kleene closure or …

Discrete mathematics0303 health sciences[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Block (permutation group theory)0102 computer and information sciences01 natural sciencesCombinatoricsKleene algebra03 medical and health sciencesClosure (mathematics)010201 computation theory & mathematicsAlgorithmicsKleene starRegular expressionTime complexity030304 developmental biologyMathematicsComplement (set theory)
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