Search results for " Simulation"

showing 10 items of 4034 documents

Integrable Hamiltonian systems with swallowtails

2010

International audience; We consider two-degree-of-freedom integrable Hamiltonian systems with bifurcation diagrams containing swallowtail structures. The global properties of the action coordinates in such systems together with the parallel transport of the period lattice and corresponding quantum cells in the joint spectrum are described in detail. The relation to the concept of bidromy which was introduced in Sadovski´ı and Zhilinski´ı (2007 Ann. Phys. 322 164–200) is discussed.

Statistics and Probability[PHYS.PHYS.PHYS-CLASS-PH]Physics [physics]/Physics [physics]/Classical Physics [physics.class-ph]Integrable systemSINGULARITIESCoordinate systemGeneral Physics and Astronomy01 natural sciencesHamiltonian system[ PHYS.PHYS.PHYS-CLASS-PH ] Physics [physics]/Physics [physics]/Classical Physics [physics.class-ph]FRACTIONAL MONODROMY0103 physical sciences0101 mathematics010306 general physicsQuantumMathematical PhysicsBifurcationMathematicsMathematical physicsParallel transportSPHERICAL PENDULUMGEOMETRY010102 general mathematicsSpherical pendulumMathematical analysisStatistical and Nonlinear PhysicsRESONANCESACKER FAMILIESModeling and SimulationLIOUVILLEGravitational singularity
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Brownian motion in trapping enclosures: Steep potential wells, bistable wells and false bistability of induced Feynman-Kac (well) potentials

2019

We investigate signatures of convergence for a sequence of diffusion processes on a line, in conservative force fields stemming from superharmonic potentials $U(x)\sim x^m$, $m=2n \geq 2$. This is paralleled by a transformation of each $m$-th diffusion generator $L = D\Delta + b(x)\nabla $, and likewise the related Fokker-Planck operator $L^*= D\Delta - \nabla [b(x)\, \cdot]$, into the affiliated Schr\"{o}dinger one $\hat{H}= - D\Delta + {\cal{V}}(x)$. Upon a proper adjustment of operator domains, the dynamics is set by semigroups $\exp(tL)$, $\exp(tL_*)$ and $\exp(-t\hat{H})$, with $t \geq 0$. The Feynman-Kac integral kernel of $\exp(-t\hat{H})$ is the major building block of the relaxatio…

Statistics and Probabilitybistable wellsBlock (permutation group theory)General Physics and AstronomyFOS: Physical sciencessteep wellsMathematics - Spectral Theorysymbols.namesakeFeynman–Kac potentialsFOS: MathematicsFeynman diagramNabla symbolSpectral Theory (math.SP)Condensed Matter - Statistical MechanicsMathematical PhysicsBrownian motionEigenvalues and eigenvectorsMathematical physicsPhysicsQuantum PhysicsSubharmonic functionStatistical Mechanics (cond-mat.stat-mech)Generator (category theory)Probability (math.PR)Statistical and Nonlinear PhysicsMathematical Physics (math-ph)trapping enclosuresboundary dataModeling and SimulationsymbolsBrownian motionQuantum Physics (quant-ph)Laplace operatorMathematics - Probability
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Segmented relationships to model erosion of regression effect in Cox regression

2010

In this article we propose a parsimonious parameterisation to model the so-called erosion of the covariate effect in the Cox model, namely a covariate effect approaching to zero as the follow-up time increases. The proposed parameterisation is based on the segmented relationship where proper constraints are set to accomodate for the erosion. Relevant hypothesis testing is discussed. The approach is illustrated on two historical datasets in the survival analysis literature, and some simulation studies are presented to show how the proposed framework leads to a test for a global effect with good power as compared with alternative procedures. Finally, possible generalisations are also present…

Statistics and ProbabilitybreakpointEpidemiologyProportional hazards modelLiver Cirrhosis BiliaryErosion (morphology)Lupus NephritisSet (abstract data type)Segmented regressionHealth Information ManagementNonlinear DynamicsRegression toward the meanCox modelCovariateStatisticsEconometricsHumansComputer SimulationSettore SECS-S/05 - Statistica SocialeSettore SECS-S/01 - Statisticaerosion of effectStatistical hypothesis testingMathematicsFollow-Up StudiesProportional Hazards Models
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Resuming Shapes with Applications

2004

Many image processing tasks need some kind of average of different shapes. Frequently, different shapes obtained from several images have to be summarized. If these shapes can be considered as different realizations of a given random compact set, then the natural summaries are the different mean sets proposed in the literature. In this paper, new mean sets are defined by using the basic transformations of Mathematical Morphology (dilation, erosion, opening and closing). These new definitions can be considered, under some additional assumptions, as particular cases of the distance average of Baddeley and Molchanov. The use of the former and new mean sets as summary descriptors of shapes is i…

Statistics and Probabilitybusiness.industryApplied MathematicsNoise reductionImage processingMathematical morphologyCondensed Matter PhysicsConfidence intervalCompact spaceModeling and SimulationRandom compact setDilation (morphology)SegmentationComputer visionGeometry and TopologyComputer Vision and Pattern RecognitionArtificial intelligencebusinessAlgorithmMathematicsJournal of Mathematical Imaging and Vision
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Outlier detection with automatic modelling: TRAMO/SEATS versus X-12-ARIMA

2012

Statistics and Probabilitybusiness.industryComputer scienceApplied MathematicsModeling and SimulationPattern recognitionAnomaly detectionData miningArtificial intelligenceAutoregressive integrated moving averagecomputer.software_genrebusinesscomputerModel Assisted Statistics and Applications
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Monte Carlo simulation of the glass transition in three-dimensional dense polymer melts

1993

Abstract We determine the incoherent intermediate scattering function φsq(t) for a three-dimensional dense polymer melt. This function shows the signature of a two-step process which was quantitatively compared to the idealized mode coupling theory (MCT) within the β-relaxation regime. A major result of this analysis is that the studied temperature interval splits in a high temperature part, where the idealized theory describes φsq(t) over about three decades in time, and a low temperature part, where it strongly overestimates the freezing tendency of the melt. Since one can qualitatively attribute this discrepancy between the idealized MCT and the simulation data to hopping processes, the …

Statistics and Probabilitychemistry.chemical_classificationMaterials scienceCondensed matter physicsComputer simulationMonte Carlo methodRelaxation (NMR)Incoherent scatterThermodynamicsFunction (mathematics)PolymerCondensed Matter PhysicsCondensed Matter::Soft Condensed MatterchemistryMode couplingGlass transitionPhysica A: Statistical Mechanics and its Applications
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Cutting rules and positivity in finite temperature many-body theory

2022

Abstract For a given diagrammatic approximation in many-body perturbation theory it is not guaranteed that positive observables, such as the density or the spectral function, retain their positivity. For zero-temperature systems we developed a method [2014 Phys. Rev. B 90 115134] based on so-called cutting rules for Feynman diagrams that enforces these properties diagrammatically, thus solving the problem of negative spectral densities observed for various vertex approximations. In this work we extend this method to systems at finite temperature by formulating the cutting rules in terms of retarded N-point functions, thereby simplifying earlier approaches and simultaneously solving the issu…

Statistics and Probabilitydiagrammatic perturbation theoryspectral propertiesModeling and Simulationquantum many-body theoryGeneral Physics and AstronomyFOS: Physical sciencesnon-equilibrium Green’s functionsStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Mathematical Physics
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Approachability in Population Games

2014

This paper reframes approachability theory within the context of population games. Thus, whilst one player aims at driving her average payoff to a predefined set, her opponent is not malevolent but rather extracted randomly from a population of individuals with given distribution on actions. First, convergence conditions are revisited based on the common prior on the population distribution, and we define the notion of \emph{1st-moment approachability}. Second, we develop a model of two coupled partial differential equations (PDEs) in the spirit of mean-field game theory: one describing the best-response of every player given the population distribution (this is a \emph{Hamilton-Jacobi-Bell…

Statistics and Probabilityeducation.field_of_studyComputer Science::Computer Science and Game TheoryMEAN-FIELD GAMESComputer scienceApproachabilityREGRETApplied MathematicsPopulationStochastic gameRegretContext (language use)91A13ApproachabilityEVOLUTIONComplete informationOptimization and Control (math.OC)Modeling and SimulationBest responseFOS: MathematicseducationMathematical economicsGame theoryMathematics - Optimization and Controlpopulation games
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Existence, uniqueness and Malliavin differentiability of Lévy-driven BSDEs with locally Lipschitz driver

2019

We investigate conditions for solvability and Malliavin differentiability of backward stochastic differential equations driven by a L\'evy process. In particular, we are interested in generators which satisfy a locally Lipschitz condition in the $Z$ and $U$ variable. This includes settings of linear, quadratic and exponential growths in those variables. Extending an idea of Cheridito and Nam to the jump setting and applying comparison theorems for L\'evy-driven BSDEs, we show existence, uniqueness, boundedness and Malliavin differentiability of a solution. The pivotal assumption to obtain these results is a boundedness condition on the terminal value $\xi$ and its Malliavin derivative $D\xi…

Statistics and Probabilitymatematiikkalocally Lipschitz generatormalliavin differentiability of BSDEsMalliavin-laskentaexistence and uniqueness of solutions to BSDEsBSDEs with jumpsLipschitz continuityLévy processArticleStochastic differential equationMathematics::ProbabilityModeling and Simulationquadratic BSDEsApplied mathematics60H10UniquenessDifferentiable functiondifferentiaaliyhtälötMathematics - Probabilitystokastiset prosessitMathematics
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Efficient change point detection in genomic sequences of continuous measurements

2010

Abstract Motivation: Knowing the exact locations of multiple change points in genomic sequences serves several biological needs, for instance when data represent aCGH profiles and it is of interest to identify possibly damaged genes involved in cancer and other diseases. Only a few of the currently available methods deal explicitly with estimation of the number and location of change points, and moreover these methods may be somewhat vulnerable to deviations of model assumptions usually employed. Results: We present a computationally efficient method to obtain estimates of the number and location of the change points. The method is based on a simple transformation of data and it provides re…

Statistics and Probabilitymodel selectionBreast Neoplasmscomputer.software_genreBiochemistryCell LineSimple (abstract algebra)Cell Line TumorHumansComputer Simulationpiecewise constant modelMolecular BiologyMathematicsOligonucleotide Array Sequence AnalysisSupplementary dataComparative Genomic HybridizationModels StatisticalSeries (mathematics)Model selectionGenomicsComputer Science ApplicationsComputational MathematicsR packageTransformation (function)Computational Theory and MathematicsChange pointsChangepointaCGH analysiFemaleData miningSettore SECS-S/01 - StatisticacomputerChange detection
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