Search results for " Programming"

showing 10 items of 1616 documents

Nondeterministic operations on finite relational structures

1998

Abstract This article builds on a tutorial introduction to universal algebra for language theory (Courcelle, Theoret. Comput. Sci. 163 (1996) 1–54) and extends it in two directions. First, nondeterministic operations are considered, i.e., operations which give a set of results instead of a single one. Most of their properties concerning recognizability and equational definability carry over from the ordinary case with minor modifications. Second, inductive sets of evaluations are studied in greater detail. It seems that they are handled most naturally in the framework presented here. We consider the analogues of top-down and bottom-up tree transducers. Again, most of their closure propertie…

Discrete mathematicsFinite-state machineGeneral Computer ScienceComputer scienceLogicFormal languages (recognizable and context-free sets transducers)Unbounded nondeterminismMonad (functional programming)Symbolic computationHypergraphsFirst-order logicLogical theoryDecidabilityTheoretical Computer ScienceNondeterministic algorithmAlgebraDeterministic automatonFormal languageUniversal algebraEquivalence relationTree transducersRewritingComputer Science(all)Theoretical Computer Science
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Branch and bound for the cutwidth minimization problem

2013

The cutwidth minimization problem consists of finding a linear arrangement of the vertices of a graph where the maximum number of cuts between the edges of the graph and a line separating consecutive vertices is minimized. We first review previous approaches for special classes of graphs, followed by lower bounds and then a linear integer formulation for the general problem. We then propose a branch-and-bound algorithm based on different lower bounds on the cutwidth of partial solutions. Additionally, we introduce a Greedy Randomized Adaptive Search Procedure (GRASP) heuristic to obtain good initial solutions. The combination of the branch-and-bound and GRASP methods results in optimal solu…

Discrete mathematicsGeneral Computer ScienceBranch and boundGeneral problemMinimization problemGRASPCPU timeManagement Science and Operations ResearchUpper and lower boundsCombinatoricsModeling and SimulationInteger programmingGreedy randomized adaptive search procedureMathematicsComputers & Operations Research
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Optimization procedures for the bipartite unconstrained 0-1 quadratic programming problem

2014

The bipartite unconstrained 0-1 quadratic programming problem (BQP) is a difficult combinatorial problem defined on a complete graph that consists of selecting a subgraph that maximizes the sum of the weights associated with the chosen vertices and the edges that connect them. The problem has appeared under several different names in the literature, including maximum weight induced subgraph, maximum weight biclique, matrix factorization and maximum cut on bipartite graphs. There are only two unpublished works (technical reports) where heuristic approaches are tested on BQP instances. Our goal is to combine straightforward search elements to balance diversification and intensification in bot…

Discrete mathematicsGeneral Computer ScienceIterated local searchMaximum cutInduced subgraphManagement Science and Operations ResearchComplete bipartite graphCombinatoricsBQPModeling and SimulationBipartite graphBeam searchQuadratic programmingMathematicsofComputing_DISCRETEMATHEMATICSMathematicsComputers & Operations Research
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The Asynchronous Leontief Model

1992

International audience; The traditional dynamic Leontief model is synchronous: every vertex acts simultaneously. A model with delays of action has been proposed, but it still remains synchronous. In this paper we propose an asynchronous version of the model that allows realistic computations. We fiurnish an algorithm and a program.

Discrete mathematicsLeontief modelVertex (graph theory)JEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsEconomics and EconometricsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsComputer scienceComputationJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[SHS.ECO]Humanities and Social Sciences/Economics and FinanceAction (physics)JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingAsynchronous communicationJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and Finance
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On the best Lipschitz extension problem for a discrete distance and the discrete ∞-Laplacian

2012

Abstract This paper concerns the best Lipschitz extension problem for a discrete distance that counts the number of steps. We relate this absolutely minimizing Lipschitz extension with a discrete ∞-Laplacian problem, which arises as the dynamic programming formula for the value function of some e -tug-of-war games. As in the classical case, we obtain the absolutely minimizing Lipschitz extension of a datum f by taking the limit as p → ∞ in a nonlocal p -Laplacian problem.

Discrete mathematicsMathematics(all)General MathematicsApplied MathematicsMathematics::Analysis of PDEsTug-of-war gamesExtension (predicate logic)Lipschitz continuityDynamic programmingLipschitz domainBellman equationInfinity LaplacianNonlocal p-Laplacian problemLimit (mathematics)Lipschitz extensionLaplacian matrixLaplace operatorMathematicsJournal de Mathématiques Pures et Appliquées
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On generalized a-Browder's theorem

2007

We characterize the bounded linear operators T satisfying generalized a-Browder's theorem, or generalized a-Weyl's theorem, by means of localized SVEP, as well as by means of the quasi-nilpotent part H0(�I T) asbelongs to certain sets of C. In the last part we give a general framework in which generalized a-Weyl's theorem follows for several classes of operators. 1. Preliminaries. Let L(X) denote the space of bounded linear oper- ators on an infinite-dimensional complex Banach space X. For T ∈ L(X), denote by α(T) the dimension of the kernel ker T, and by β(T) the codi- mension of the range T(X). The operator T ∈ L(X) is called upper semi- Fredholm if α(T) < ∞ and T(X) is closed, and lower …

Discrete mathematicsMathematics::Functional AnalysisFredholm theoryMathematics::Operator AlgebrasGeneral MathematicsFredholm operatorgeneralized Browder's theoremBanach spaceMathematics::Spectral TheoryFredholm theorySVEPCombinatoricssymbols.namesakeKernel (algebra)Operator (computer programming)Mathematics Subject ClassificationIntegerSettore MAT/05 - Analisi MatematicaMathematics::K-Theory and HomologyBounded functionsymbolsgeneralized Weyl's theoremMathematicsStudia Mathematica
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Nonlinear systems solver in floating-point arithmetic using LP reduction

2009

This paper presents a new solver for systems of nonlinear equations. Such systems occur in Geometric Constraint Solving, e.g., when dimensioning parts in CAD-CAM, or when computing the topology of sets defined by nonlinear inequalities. The paper does not consider the problem of decomposing the system and assembling solutions of subsystems. It focuses on the numerical resolution of well-constrained systems. Instead of computing an exponential number of coefficients in the tensorial Bernstein basis, we resort to linear programming for computing range bounds of system equations or domain reductions of system variables. Linear programming is performed on a so called Bernstein polytope: though,…

Discrete mathematicsNonlinear systemPolynomialFloating pointSimplexLinear programmingApplied mathematicsSolverBernstein polynomialMathematicsInterval arithmetic2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling
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On the Bishop–Phelps–Bollobás theorem for multilinear mappings

2017

Abstract We study the Bishop–Phelps–Bollobas property and the Bishop–Phelps–Bollobas property for numerical radius. Our main aim is to extend some known results about norm or numerical radius attaining operators to multilinear and polynomial cases. We characterize the pair ( l 1 ( X ) , Y ) to have the BPBp for bilinear forms and prove that on L 1 ( μ ) the numerical radius and the norm of a multilinear mapping are the same. We also show that L 1 ( μ ) fails the BPBp-nu for multilinear mappings although L 1 ( μ ) satisfies it in the operator case for every measure μ.

Discrete mathematicsNumerical AnalysisMultilinear mapAlgebra and Number Theory010102 general mathematicsBilinear form01 natural sciences010101 applied mathematicsOperator (computer programming)Discrete Mathematics and CombinatoricsGeometry and Topology0101 mathematicsBishop–Phelps theoremMathematicsLinear Algebra and its Applications
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Rank structured approximation method for quasi--periodic elliptic problems

2016

We consider an iteration method for solving an elliptic type boundary value problem $\mathcal{A} u=f$, where a positive definite operator $\mathcal{A}$ is generated by a quasi--periodic structure with rapidly changing coefficients (typical period is characterized by a small parameter $\epsilon$) . The method is based on using a simpler operator $\mathcal{A}_0$ (inversion of $\mathcal{A}_0$ is much simpler than inversion of $\mathcal{A}$), which can be viewed as a preconditioner for $\mathcal{A}$. We prove contraction of the iteration method and establish explicit estimates of the contraction factor $q$. Certainly the value of $q$ depends on the difference between $\mathcal{A}$ and $\mathcal…

Discrete mathematicsNumerical AnalysisRank (linear algebra)PreconditionerApplied Mathematicsprecondition methodsguaranteed error boundsOrder (ring theory)65F30 65F50 65N35 65F10tensor type methods010103 numerical & computational mathematicsNumerical Analysis (math.NA)elliptic problems with periodic and quasi-periodic coefficients01 natural sciencesFinite element method010101 applied mathematicsComputational MathematicsOperator (computer programming)Simple (abstract algebra)FOS: MathematicsBoundary value problemTensorMathematics - Numerical Analysis0101 mathematicsMathematics
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General aggregation operators based on a fuzzy equivalence relation in the context of approximate systems

2016

Our paper deals with special constructions of general aggregation operators, which are based on a fuzzy equivalence relation and provide upper and lower approximations of the pointwise extension of an ordinary aggregation operator. We consider properties of these approximations and explore their role in the context of extensional fuzzy sets with respect to the corresponding equivalence relation. We consider also upper and lower approximations of a t-norm extension of an ordinary aggregation operator. Finally, we describe an approximate system, considering the lattice of all general aggregation operators and the lattice of all fuzzy equivalence relations.

Discrete mathematicsPointwiseLogic05 social sciencesFuzzy set050301 educationContext (language use)02 engineering and technologyExtension (predicate logic)Lattice (discrete subgroup)Operator (computer programming)Artificial Intelligence0202 electrical engineering electronic engineering information engineeringEquivalence relationApplied mathematics020201 artificial intelligence & image processing0503 educationOrdered weighted averaging aggregation operatorMathematicsFuzzy Sets and Systems
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