Search results for "online"

showing 10 items of 4526 documents

Brownian dynamics of polydisperse colloidal hard spheres: Equilibrium structures and random close packings

1994

Recently we presented a new technique for numerical simulations of colloidal hard-sphere systems and showed its high efficiency. Here, we extend our calculations to the treatment of both 2- and 3-dimensional monodisperse and 3-dimensional polydisperse systems (with sampled finite Gaussian size distribution of particle radii), focusing on equilibrium pair distribution functions and structure factors as well as volume fractions of random close packing (RCP). The latter were determined using in principle the same technique as Woodcock or Stillinger had used. Results for the monodisperse 3-dimensional system show very good agreement compared to both pair distribution and structure factor predic…

Condensed Matter::Soft Condensed MatterPhase transitionDistribution functionMaterials scienceRandom close packVolume fractionBrownian dynamicsThermodynamicsStatistical and Nonlinear PhysicsHard spheresAtomic packing factorStructure factorMathematical PhysicsJournal of Statistical Physics
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Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range co…

2017

Entropy measures are widely applied to quantify the complexity of dynamical systems in diverse fields. However, the practical application of entropy methods is challenging, due to the variety of entropy measures and estimators and the complexity of real-world time series, including nonstationarities and long-range correlations (LRC). We conduct a systematic study on the performance, bias, and limitations of three basic measures (entropy, conditional entropy, information storage) and three traditionally used estimators (linear, kernel, nearest neighbor). We investigate the dependence of entropy measures on estimator- and process-specific parameters, and we show the effects of three types of …

Conditional entropyStatistics and ProbabilityDynamical systems theoryComputer scienceEstimatorCondensed Matter Physics01 natural sciencesArticlek-nearest neighbors algorithm03 medical and health sciencesComplex dynamics0302 clinical medicineAutoregressive modelLocal variance0103 physical sciencesStatisticsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaPreprocessorStatistical physics010306 general physics030217 neurology & neurosurgeryStatistical and Nonlinear PhysicPhysical review. E
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Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique

2010

We present an approach, framed in information theory, to assess nonlinear causality between the subsystems of a whole stochastic or deterministic dynamical system. The approach follows a sequential procedure for nonuniform embedding of multivariate time series, whereby embedding vectors are built progressively on the basis of a minimization criterion applied to the entropy of the present state of the system conditioned to its past states. A corrected conditional entropy estimator compensating for the biasing effect of single points in the quantized hyperspace is used to guarantee the existence of a minimum entropy rate at which to terminate the procedure. The causal coupling is detected acc…

Conditional entropyStatistics and ProbabilityStochastic ProcessesInformation transferEntropyInformation TheoryEstimatorElectroencephalographyCondensed Matter PhysicInformation theoryCardiovascular Physiological PhenomenaNonlinear DynamicsMultivariate AnalysisStatisticsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaRespiratory Physiological PhenomenaEntropy (information theory)Applied mathematicsEmbeddingPredictabilityTime seriesMathematicsStatistical and Nonlinear Physic
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Entropy-Based Detection of Complexity and Nonlinearity in Short-Term Heart Period Variability under different Physiopathological States

2020

We compare different estimators of a popular en-tropy-based nonlinear dynamic measure, i.e. the conditional entropy (CE), as regards their ability to assess the complexity and nonlinearity of short-term heart rate variability (HRV). The CE is computed using binning, kernel and nearest neighbor entropy estimators in HRV time series measured from young, old and post-myocardial infarction patients studied at rest and during orthostatic stress. We find that the three estimators yield similar patterns of CE, but different patterns of nonlinear dynamics, across groups and conditions. These results suggest that the strategy for CE estimation is not crucial for the quantification of complexity, but…

Conditional entropynearest neighborHeart period variabilityEstimatork-nearest neighbors algorithmConditional entropy (CE)Nonlinear systemStatisticsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaEntropy (information theory)Heart rate variabilitynonlinear analysis methodTime seriescomplexityheart rate variability (HRV)Mathematics
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Análisis de los factores determinantes de la lealtad hacia los servicios bancarios online

2011

ResumenEl rápido crecimiento de la banca online refleja las ventajas que ésta ofrece respecto a las sucursales convencionales. No obstante, son muchos los consumidores que todavía utilizan los servicios bancarios online de forma esporádica, fundamentalmente para la comprobación de saldos, evitando realizar transacciones con un mayor nivel de riesgo. El objetivo de este estudio es analizar los factores determinantes de la lealtad hacia los servicios bancarios online, a través de un modelo integrador de la influencia del riesgo percibido y la confianza en las webs bancarias con el marco conceptual de la Teoría del Comportamiento Planificado (TCP). La configuración del riesgo percibido se ha p…

ConfianzaEconomics and EconometricsOnline banking servicesLoyaltyLealtadRiesgo percibidoTheory of Planned BehaviourPerceived riskTeoría del comportamiento planificadoTrustGeneral Business Management and AccountingServicios bancarios onlineCuadernos de Economía y Dirección de la Empresa
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Chebyshev’s Method on Projective Fluids

2020

We demonstrate the acceleration potential of the Chebyshev semi-iterative approach for fluid simulations in Projective Dynamics. The Chebyshev approach has been successfully tested for deformable bodies, where the dynamical system behaves relatively linearly, even though Projective Dynamics, in general, is fundamentally nonlinear. The results for more complex constraints, like fluids, with a particular nonlinear dynamical system, remained unknown so far. We follow a method describing particle-based fluids in Projective Dynamics while replacing the Conjugate Gradient solver with Chebyshev’s method. Our results show that Chebyshev’s method can be successfully applied to fluids and potentially…

Conjugate gradient solverComputer sciencesimulace tekutinanimationAcceleration (differential geometry)02 engineering and technologyDynamical systemChebyshev filternonlinear optimization0202 electrical engineering electronic engineering information engineeringanimaceProjective testnelineární optimalizaceprojektivní dynamikaconstraint-based simulationsimulace založená na omezeníMathematical analysis020207 software engineeringComputer Graphics and Computer-Aided DesignComputational MathematicsNonlinear systemprojective dynamicsParticle020201 artificial intelligence & image processingfluid simulationProjective dynamicsSoftware
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TOPOLOGICAL PARTIAL *-ALGEBRAS: BASIC PROPERTIES AND EXAMPLES

1999

Let [Formula: see text] be a partial *-algebra endowed with a topology τ that makes it into a locally convex topological vector space [Formula: see text]. Then [Formula: see text] is called a topological partial *-algebra if it satisfies a number of conditions, which all amount to require that the topology τ fits with the multiplier structure of [Formula: see text]. Besides the obvious cases of topological quasi *-algebras and CQ*-algebras, we examine several classes of potential topological partial *-algebras, either function spaces (lattices of Lp spaces on [0, 1] or on ℝ, amalgam spaces), or partial *-algebras of operators (operators on a partial inner product space, O*-algebras).

Connected spaceTopological algebraTopological tensor productFOS: Physical sciencesStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Topological spaceTopologyTopological vector spaceHomeomorphismSettore MAT/05 - Analisi MatematicaLocally convex topological vector spaceMathematical PhysicTopological ringSettore MAT/07 - Fisica MatematicaMathematical PhysicsMathematicsReviews in Mathematical Physics
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Fibre Bundle for Spin and Charge in General Relativity

2000

The Lorentzian and spin structures of general relativity are shown to allow a natural extension, by means of which the set of possible electromagnetic bundles is linked to the topology and geometry of the underlying causal structure. Further, both the Dirac operator and the electromagnetic potential are obtainable from a single linear connection 1-form.

Connection (fibred manifold)PhysicsGeneral relativityStatistical and Nonlinear PhysicsFour-forceDirac operatorMathematics of general relativitysymbols.namesakeTheory of relativityClassical mechanicssymbolsFiber bundleMathematical PhysicsCausal fermion systemCommunications in Mathematical Physics
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Spectral WENO schemes with Adaptive Mesh Refinement for models of polydisperse sedimentation

2012

The sedimentation of a polydisperse suspension with particles belonging to N size classes (species) can be described by a system of N nonlinear, strongly coupled scalar first-order conservation laws. Its solutions usually exhibit kinematic shocks separating areas of different composition. Based on the so-called secular equation [J. Anderson, Lin. Alg. Appl. 246, 49–70 (1996)], which provides access to the spectral decomposition of the Jacobian of the flux vector for this class of models, Burger et al. [J. Comput. Phys. 230, 2322–2344 (2011)] proposed a spectral weighted essentially non-oscillatory (WENO) scheme for the numerical solution of the model. It is demonstrated that the efficiency …

Conservation lawAdaptive mesh refinementApplied MathematicsComputational MechanicsScalar (physics)KinematicsSuspension (topology)Matrix decompositionNonlinear systemsymbols.namesakeClassical mechanicsJacobian matrix and determinantsymbolsApplied mathematicsMathematicsZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik
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Conservation Laws and Asymptotic Behavior of a Model of Social Dynamics

2008

Abstract A conservative social dynamics model is developed within a discrete kinetic framework for active particles, which has been proposed in [M.L. Bertotti, L. Delitala, From discrete kinetic and stochastic game theory to modelling complex systems in applied sciences, Math. Mod. Meth. Appl. Sci. 14 (2004) 1061–1084]. The model concerns a society in which individuals, distinguished by a scalar variable (the activity) which expresses their social state, undergo competitive and/or cooperative interactions. The evolution of the discrete probability distribution over the social state is described by a system of nonlinear ordinary differential equations. The asymptotic trend of their solutions…

Conservation lawDiscretizationApplied MathematicsMathematical analysisStochastic gameGeneral EngineeringGeneral MedicineStability (probability)Computational MathematicsNonlinear systemSocial dynamicsExponential stabilityApplied mathematicsProbability distributionGeneral Economics Econometrics and FinanceAnalysisMathematics
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