Search results for " Simulation"

showing 10 items of 4034 documents

Dissipation and entanglement dynamics for two interacting qubits coupled to independent reservoirs

2008

We derive the master equation of a system of two coupled qubits by taking into account their interaction with two independent bosonic baths. Important features of the dynamics are brought to light, such as the structure of the stationary state at general temperatures and the behaviour of the entanglement at zero temperature, showing the phenomena of sudden death and sudden birth as well as the presence of stationary entanglement for long times. The model here presented is quite versatile and can be of interest in the study of both Josephson junction architectures and cavity-QED.

Statistics and ProbabilityJosephson effectPhysicsQuantum PhysicsStructure (category theory)FOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsQuantum entanglementDissipationSudden deathdissipazioneteoria dei sistemi quantistici apertiModeling and SimulationQuantum mechanicsQubitMaster equationQuantum Physics (quant-ph)entanglementMathematical PhysicsStationary state
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Vortex length, vortex energy and fractal dimension of superfluid turbulence at very low temperature

2010

By assuming a self-similar structure for Kelvin waves along vortex loops with successive smaller scale features, we model the fractal dimension of a superfluid vortex tangle in the zero temperature limit. Our model assumes that at each step the total energy of the vortices is conserved, but the total length can change. We obtain a relation between the fractal dimension and the exponent describing how the vortex energy per unit length changes with the length scale. This relation does not depend on the specific model, and shows that if smaller length scales make a decreasing relative contribution to the energy per unit length of vortex lines, the fractal dimension will be higher than unity. F…

Statistics and ProbabilityLength scalePhysicsfractal dimensionScale (ratio)TurbulenceFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMechanicsFractal dimensionSuperfluid turbulenceVortexCondensed Matter - Other Condensed MatterSuperfluiditysymbols.namesakeModeling and SimulationsymbolsKelvin waveScalingSettore MAT/07 - Fisica MatematicaMathematical PhysicsOther Condensed Matter (cond-mat.other)vortice
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Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data

2022

We analyse the spatio-temporal distribution of visitors' stops by touristic attractions in Palermo (Italy) using theory of stochastic point processes living on linear networks. We first propose an inhomogeneous Poisson point process model, with a separable parametric spatio-temporal first-order intensity. We account for the spatial interaction among points on the given network, fitting a Gibbs point process model with mixed effects for the purely spatial component. This allows us to study first-order and second-order properties of the point pattern, accounting both for the spatio-temporal clustering and interaction and for the spatio-temporal scale at which they operate. Due to the strong d…

Statistics and ProbabilityLog-Gaussian Cox processeSpatio-temporal point processesIntensity estimationGlobal Positioning SystemModeling and SimulationGibbs point processeLinear networkStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaThe Annals of Applied Statistics
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Sparse kernel methods for high-dimensional survival data

2008

Abstract Sparse kernel methods like support vector machines (SVM) have been applied with great success to classification and (standard) regression settings. Existing support vector classification and regression techniques however are not suitable for partly censored survival data, which are typically analysed using Cox's proportional hazards model. As the partial likelihood of the proportional hazards model only depends on the covariates through inner products, it can be ‘kernelized’. The kernelized proportional hazards model however yields a solution that is dense, i.e. the solution depends on all observations. One of the key features of an SVM is that it yields a sparse solution, dependin…

Statistics and ProbabilityLung NeoplasmsLymphomaComputer sciencecomputer.software_genreComputing MethodologiesBiochemistryPattern Recognition AutomatedArtificial IntelligenceMargin (machine learning)CovariateCluster AnalysisHumansComputer SimulationFraction (mathematics)Molecular BiologyProportional Hazards ModelsModels StatisticalTraining setProportional hazards modelGene Expression ProfilingComputational BiologyComputer Science ApplicationsSupport vector machineComputational MathematicsKernel methodComputational Theory and MathematicsRegression AnalysisData miningcomputerAlgorithmsSoftwareBioinformatics
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Stability of a stochastic SIR system

2005

Abstract We propose a stochastic SIR model with or without distributed time delay and we study the stability of disease-free equilibrium. The numerical simulation of the stochastic SIR model shows that the introduction of noise modifies the threshold of system for an epidemic to occur and the threshold stochastic value is found.

Statistics and ProbabilityLyapunov functionStochastic stabilityComputer simulationStochastic processComputer Science::Social and Information NetworksCondensed Matter PhysicsStability (probability)Noise (electronics)SIR model Lyapunov function Stochastic process Stochastic stabilitysymbols.namesakeControl theorysymbolsQuantitative Biology::Populations and EvolutionApplied mathematicsEpidemic modelMathematicsPhysica A: Statistical Mechanics and its Applications
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Splitting the dynamics of large biochemical interaction networks

2003

This article is inscribed in the general motivation of understanding the dynamics on biochemical networks including metabolic and genetic interactions. Our approach is continuous modeling by differential equations. We address the problem of the huge size of those systems. We present a mathematical tool for reducing the size of the model, master-slave synchronization, and fit it to the biochemical context.

Statistics and ProbabilityMaster slave synchronizationModularity (networks)Theoretical computer scienceGeneral Immunology and MicrobiologyDifferential equationSystems BiologyQuantitative Biology::Molecular NetworksApplied MathematicsSystems biologyDynamics (mechanics)Context (language use)General MedicineBiologyBioinformaticsModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyCell Physiological PhenomenaGene Expression RegulationModeling and SimulationSynchronization (computer science)AnimalsGeneral Agricultural and Biological SciencesAlgorithmsJournal of Theoretical Biology
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Distribution of oxygen partial pressure in a two-dimensional tissue supplied by capillary meshes and concurrent and countercurrent systems

1969

Abstract For the calculations of oxygen partial pressure in a two-dimensional tissue model supplied by a capillary network (inhomogeneously perfused tissue), two differential equations are given that describe the process in the tissue and capillaries. The differential equations are coupled by the boundary conditions. Results obtained by using the method of successive displacements are given for the two-dimensional problem. This method exhibits a satisfactory convergence. The accuracy of the results is about ±5% based on the initial concentration. The results for the network model are compared with those for equivalent concurrent and countercurrent systems. Equivalence means in this connecti…

Statistics and ProbabilityMaterials scienceGeneral Immunology and MicrobiologyDifferential equationCapillary actionCountercurrent exchangeQuantitative Biology::Tissues and OrgansApplied MathematicsPhysics::Medical PhysicsGeneral MedicinePartial pressureMechanicsAnatomyGeneral Biochemistry Genetics and Molecular BiologyDistribution (mathematics)Modeling and SimulationConvergence (routing)Boundary value problemGeneral Agricultural and Biological SciencesNetwork modelMathematical Biosciences
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Dynamics of a map with a power-law tail

2008

We analyze a one-dimensional piecewise continuous discrete model proposed originally in studies on population ecology. The map is composed of a linear part and a power-law decreasing piece, and has three parameters. The system presents both regular and chaotic behavior. We study numerically and, in part, analytically different bifurcation structures. Particularly interesting is the description of the abrupt transition order-to-chaos mediated by an attractor made of an infinite number of limit cycles with only a finite number of different periods. It is shown that the power-law piece in the map is at the origin of this type of bifurcation. The system exhibits interior crises and crisis-induc…

Statistics and ProbabilityMathematical analysisChaoticFOS: Physical sciencesGeneral Physics and AstronomyFísicaStatistical and Nonlinear PhysicsNonlinear Sciences - Chaotic DynamicsPower lawlaw.inventionNonlinear Sciences::Chaotic DynamicslawModeling and SimulationIntermittencyAttractorPiecewiseLimit (mathematics)Chaotic Dynamics (nlin.CD)Finite setMathematical PhysicsBifurcationMathematics
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Lyapunov exponent and topological entropy plateaus in piecewise linear maps

2013

We consider a two-parameter family of piecewise linear maps in which the moduli of the two slopes take different values. We provide numerical evidence of the existence of some parameter regions in which the Lyapunov exponent and the topological entropy remain constant. Analytical proof of this phenomenon is also given for certain cases. Surprisingly however, the systems with that property are not conjugate as we prove by using kneading theory.

Statistics and ProbabilityMathematical analysisGeneral Physics and AstronomyStatistical and Nonlinear PhysicsTopological entropyLyapunov exponentTopological entropy in physicsModuliPiecewise linear functionsymbols.namesakeModeling and SimulationsymbolsConstant (mathematics)Mathematical PhysicsMathematicsJournal of Physics A: Mathematical and Theoretical
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Pseudo-Cut Strategies for Global Optimization

2011

Motivated by the successful use of a pseudo-cut strategy within the setting of constrained nonlinear and nonconvex optimization in Lasdon et al. (2010), we propose a framework for general pseudo-cut strategies in global optimization that provides a broader and more comprehensive range of methods. The fundamental idea is to introduce linear cutting planes that provide temporary, possibly invalid, restrictions on the space of feasible solutions, as proposed in the setting of the tabu search metaheuristic in Glover (1989), in order to guide a solution process toward a global optimum, where the cutting planes can be discarded and replaced by others as the process continues. These strategies can…

Statistics and ProbabilityMathematical optimizationControl and OptimizationProcess (engineering)Space (commercial competition)Tabu searchComputer Science ApplicationsComputational MathematicsNonlinear systemRange (mathematics)Computational Theory and MathematicsOrder (exchange)Modeling and SimulationDecision Sciences (miscellaneous)Global optimizationMetaheuristicMathematicsInternational Journal of Applied Metaheuristic Computing
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