Search results for "Simulation."

showing 10 items of 4779 documents

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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Fixed point results on metric and partial metric spaces via simulation functions

2015

We prove existence and uniqueness of fixed point, by using a simulation function and a lower semi-continuous function in the setting of metric space. As consequences of this study, we deduce several related fixed point results, in metric and partial metric spaces. An example is given to support the new theory.

Discrete mathematicsMetric spaceNonlinear contractionAlgebra and Number TheoryPartial metric spaceSimulation functionSettore MAT/05 - Analisi MatematicaMetric (mathematics)Fixed pointFixed pointMetric spaceAnalysisMathematics
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Construction of chaotic dynamical system

2010

The first‐order difference equation xn+ 1 = f(xn ), n = 0,1,…, where f: R → R, is referred as an one‐dimensional discrete dynamical system. If function f is a chaotic mapping, then we talk about chaotic dynamical system. Models with chaotic mappings are not predictable in long‐term. In this paper we consider family of chaotic mappings in symbol space S 2. We use the idea of topological semi‐conjugacy and so we can construct a family of mappings in the unit segment such that it is chaotic. First published online: 09 Jun 2011

Discrete mathematicsPure mathematicsincreasing mappingDifferential equationChaoticinfinite symbol spaceBinary numberFunction (mathematics)Space (mathematics)Nonlinear Sciences::Chaotic Dynamicstopological semi‐conjugacyModeling and SimulationQA1-939Orbit (dynamics)chaotic mappingbinary expansionUnit (ring theory)MathematicsAnalysisMathematicsCoupled map latticeMathematical Modelling and Analysis
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A simple algorithm for generating neuronal dendritic trees

1990

Abstract A simple, efficient algorithm is presented for generating the codewords of all neuronal dendritic trees with a given number of terminal nodes. Furthermore, a procedure is developed for deciding if different codewords correspond to topologically equivalent trees.

Discrete mathematicsQuantitative Biology::Neurons and CognitionEfficient algorithmHealth InformaticsDendritesData_CODINGANDINFORMATIONTHEORYData structureModels BiologicalComputer Science ApplicationsTerminal (electronics)Simple (abstract algebra)Computer SimulationTopological conjugacyMathematical ComputingAlgorithmAlgorithmsSoftwareSIMPLE algorithmComputer Science::Information TheoryMathematicsComputer Methods and Programs in Biomedicine
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Periodic and Chaotic Orbits of a Neuron Model

2015

In this paper we study a class of difference equations which describes a discrete version of a single neuron model. We consider a generalization of the original McCulloch-Pitts model that has two thresholds. Periodic orbits are investigated accordingly to the different range of parameters. For some parameters sufficient conditions for periodic orbits of arbitrary periods have been obtained. We conclude that there exist values of parameters such that the function in the model has chaotic orbits. Models with chaotic orbits are not predictable in long-term.

Discrete mathematicsQuantitative Biology::Neurons and CognitionGeneralizationMathematical analysisChaoticBiological neuron modelFunction (mathematics)stabilityDynamical systemStability (probability)dynamical systemModeling and Simulationiterative processRange (statistics)Orbit (dynamics)QA1-939chaotic mappingnonlinear problemAnalysisMathematicsMathematicsMathematical Modelling and Analysis
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Exceptional Quantum Walk Search on the Cycle

2016

Quantum walks are standard tools for searching graphs for marked vertices, and they often yield quadratic speedups over a classical random walk's hitting time. In some exceptional cases, however, the system only evolves by sign flips, staying in a uniform probability distribution for all time. We prove that the one-dimensional periodic lattice or cycle with any arrangement of marked vertices is such an exceptional configuration. Using this discovery, we construct a search problem where the quantum walk's random sampling yields an arbitrary speedup in query complexity over the classical random walk's hitting time. In this context, however, the mixing time to prepare the initial uniform state…

Discrete mathematicsQuantum PhysicsSpeedupHitting timeFOS: Physical sciencesStatistical and Nonlinear PhysicsContext (language use)Random walk01 natural sciences010305 fluids & plasmasTheoretical Computer ScienceElectronic Optical and Magnetic MaterialsQuadratic equationModeling and Simulation0103 physical sciencesSignal ProcessingSearch problemQuantum walkElectrical and Electronic Engineering010306 general physicsQuantum Physics (quant-ph)MathematicsSign (mathematics)
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Common fixed point theorems for families of occasionally weakly compatible mappings

2011

We prove some common fixed point theorems in probabilistic semi-metric spaces for families of occasionally weakly compatible mappings. We also give a common fixed point theorem for mappings satisfying an integral-type implicit relation.

Discrete mathematicsWeakly compatibleRelation (database)010102 general mathematicsProbabilistic logicOccasionally weakly compatible mappingProbabilistic metric spaceCommon fixed point01 natural sciencesProbabilistic metric spaceComputer Science Applications010101 applied mathematicsLeast fixed pointSettore MAT/05 - Analisi MatematicaModelling and SimulationModeling and SimulationCommon fixed point0101 mathematicsCoincidence pointCommon fixed point theoremMathematicsMathematical and Computer Modelling
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On Different Type Solutions of Boundary Value Problems

2016

We consider boundary value problems of the type x'' = f(t, x, x'), (∗) x(a) = A, x(b) = B. A solution ξ(t) of the above BVP is said to be of type i if a solution y(t) of the respective equation of variations y'' = fx(t, ξ(t), ξ' (t))y + fx' (t, ξ(t), ξ' (t))y' , y(a) = 0, y' (a) = 1, has exactly i zeros in the interval (a, b) and y(b) 6= 0. Suppose there exist two solutions x1(t) and x2(t) of the BVP. We study properties of the set S of all solutions x(t) of the equation (∗) such that x(a) = A, x'1(a) ≤ x' (a) ≤ x'2(a) provided that solutions extend to the interval [a, b].

Discrete mathematicsmultiple solutionsexistence010103 numerical & computational mathematicsType (model theory)01 natural sciences010101 applied mathematicsSet (abstract data type)Modeling and Simulationboundary value problemQA1-939Interval (graph theory)Boundary value problem0101 mathematicsAnalysisMathematicsMathematicsMathematical Modelling and Analysis
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Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests

2010

Recent train accidents have reaffirmed the need for developing a rail defect detection system more effective than that currently used. One of the most promising techniques in rail inspection is the use of ultrasonic guided waves and noncontact probes. A rail inspection prototype based on these concepts and devoted to the automatic damage detection of defects in rail head is the focus of this paper. The prototype includes an algorithm based on wavelet transform and outlier analysis. The discrete wavelet transform is utilized to denoise ultrasonic signals and to generate a set of relevant damage sensitive data. These data are combined into a damage index vector fed to an unsupervised learning…

Discrete wavelet transformEngineeringArticle Subjectbusiness.industryReal-time computingWavelet transformWaveletRailheadlcsh:TA1-2040OutlierRail inspectionUltrasonic sensorSensitivity (control systems)businesslcsh:Engineering (General). Civil engineering (General)SimulationCivil and Structural EngineeringAdvances in Civil Engineering
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Regularization of optical flow with M-band wavelet transform

2003

The optical flow is an important tool for problems arising in the analysis of image sequences. Flow fields generated by various existing solving techniques are often noisy and partially incorrect, especially near occlusions or motion boundaries. Therefore, the additional information on the scene gained from a sequence of images is usually worse. In this paper, discrete wavelet transform has been adopted in order to enhance the reliability of optical flow estimation. A generalization of the well-known dyadic orthonormal wavelets to the case of the dilation scale factor M > 2 with N vanishing moments has been used, and it has proved to be a useful regularizing tool. The advantages in the comp…

Discrete wavelet transformM-band waveletLifting schemebusiness.industryStationary wavelet transformOptical flowComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWavelet transformWavelet packet decompositionApplied MathematicSettore MAT/08 - Analisi NumericaComputational MathematicsWaveletComputational Theory and MathematicsMultiresolution analysis (MRA)Modeling and SimulationModelling and SimulationComputational MathematicComputer visionArtificial intelligenceHarmonic wavelet transformFast wavelet transformbusinessAlgorithmMathematicsComputers & Mathematics with Applications
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